Overview

Brought to you by YData

Dataset statistics

Number of variables121
Number of observations48744
Missing cells1404419
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.2 MiB
Average record size in memory1.7 KiB

Variable types

Numeric68
Categorical49
Boolean3
Text1

Alerts

FLAG_DOCUMENT_2 has constant value "0"Constant
FLAG_DOCUMENT_10 has constant value "0"Constant
FLAG_DOCUMENT_12 has constant value "0"Constant
FLAG_DOCUMENT_13 has constant value "0"Constant
FLAG_DOCUMENT_14 has constant value "0"Constant
FLAG_DOCUMENT_15 has constant value "0"Constant
FLAG_DOCUMENT_16 has constant value "0"Constant
FLAG_DOCUMENT_17 has constant value "0"Constant
FLAG_DOCUMENT_19 has constant value "0"Constant
FLAG_DOCUMENT_20 has constant value "0"Constant
FLAG_DOCUMENT_21 has constant value "0"Constant
AMT_ANNUITY is highly overall correlated with AMT_CREDIT and 1 other fieldsHigh correlation
AMT_CREDIT is highly overall correlated with AMT_ANNUITY and 1 other fieldsHigh correlation
AMT_GOODS_PRICE is highly overall correlated with AMT_ANNUITY and 1 other fieldsHigh correlation
APARTMENTS_AVG is highly overall correlated with APARTMENTS_MEDI and 24 other fieldsHigh correlation
APARTMENTS_MEDI is highly overall correlated with APARTMENTS_AVG and 24 other fieldsHigh correlation
APARTMENTS_MODE is highly overall correlated with APARTMENTS_AVG and 24 other fieldsHigh correlation
BASEMENTAREA_AVG is highly overall correlated with APARTMENTS_AVG and 15 other fieldsHigh correlation
BASEMENTAREA_MEDI is highly overall correlated with APARTMENTS_AVG and 15 other fieldsHigh correlation
BASEMENTAREA_MODE is highly overall correlated with APARTMENTS_AVG and 15 other fieldsHigh correlation
CNT_CHILDREN is highly overall correlated with CNT_FAM_MEMBERSHigh correlation
CNT_FAM_MEMBERS is highly overall correlated with CNT_CHILDRENHigh correlation
CODE_GENDER is highly overall correlated with OCCUPATION_TYPEHigh correlation
COMMONAREA_AVG is highly overall correlated with APARTMENTS_AVG and 12 other fieldsHigh correlation
COMMONAREA_MEDI is highly overall correlated with APARTMENTS_AVG and 12 other fieldsHigh correlation
COMMONAREA_MODE is highly overall correlated with APARTMENTS_AVG and 12 other fieldsHigh correlation
DAYS_BIRTH is highly overall correlated with EXT_SOURCE_1 and 1 other fieldsHigh correlation
DAYS_EMPLOYED is highly overall correlated with FLAG_DOCUMENT_6 and 3 other fieldsHigh correlation
DEF_30_CNT_SOCIAL_CIRCLE is highly overall correlated with DEF_60_CNT_SOCIAL_CIRCLEHigh correlation
DEF_60_CNT_SOCIAL_CIRCLE is highly overall correlated with DEF_30_CNT_SOCIAL_CIRCLEHigh correlation
ELEVATORS_AVG is highly overall correlated with APARTMENTS_AVG and 18 other fieldsHigh correlation
ELEVATORS_MEDI is highly overall correlated with APARTMENTS_AVG and 18 other fieldsHigh correlation
ELEVATORS_MODE is highly overall correlated with APARTMENTS_AVG and 18 other fieldsHigh correlation
EMERGENCYSTATE_MODE is highly overall correlated with FLAG_DOCUMENT_7High correlation
ENTRANCES_AVG is highly overall correlated with APARTMENTS_AVG and 15 other fieldsHigh correlation
ENTRANCES_MEDI is highly overall correlated with APARTMENTS_AVG and 15 other fieldsHigh correlation
ENTRANCES_MODE is highly overall correlated with APARTMENTS_AVG and 13 other fieldsHigh correlation
EXT_SOURCE_1 is highly overall correlated with DAYS_BIRTH and 1 other fieldsHigh correlation
EXT_SOURCE_2 is highly overall correlated with FLAG_MOBILHigh correlation
FLAG_DOCUMENT_3 is highly overall correlated with FLAG_DOCUMENT_6 and 1 other fieldsHigh correlation
FLAG_DOCUMENT_4 is highly overall correlated with OWN_CAR_AGEHigh correlation
FLAG_DOCUMENT_6 is highly overall correlated with DAYS_EMPLOYED and 3 other fieldsHigh correlation
FLAG_DOCUMENT_7 is highly overall correlated with APARTMENTS_AVG and 46 other fieldsHigh correlation
FLAG_DOCUMENT_8 is highly overall correlated with FLAG_DOCUMENT_3High correlation
FLAG_EMP_PHONE is highly overall correlated with DAYS_BIRTH and 4 other fieldsHigh correlation
FLAG_MOBIL is highly overall correlated with EXT_SOURCE_1 and 2 other fieldsHigh correlation
FLAG_OWN_CAR is highly overall correlated with OWN_CAR_AGEHigh correlation
FLOORSMAX_AVG is highly overall correlated with APARTMENTS_AVG and 24 other fieldsHigh correlation
FLOORSMAX_MEDI is highly overall correlated with APARTMENTS_AVG and 24 other fieldsHigh correlation
FLOORSMAX_MODE is highly overall correlated with APARTMENTS_AVG and 24 other fieldsHigh correlation
FLOORSMIN_AVG is highly overall correlated with ELEVATORS_AVG and 12 other fieldsHigh correlation
FLOORSMIN_MEDI is highly overall correlated with ELEVATORS_AVG and 11 other fieldsHigh correlation
FLOORSMIN_MODE is highly overall correlated with ELEVATORS_AVG and 10 other fieldsHigh correlation
FONDKAPREMONT_MODE is highly overall correlated with FLAG_DOCUMENT_7High correlation
HOUSETYPE_MODE is highly overall correlated with FLAG_DOCUMENT_7High correlation
LANDAREA_AVG is highly overall correlated with FLAG_DOCUMENT_7 and 2 other fieldsHigh correlation
LANDAREA_MEDI is highly overall correlated with FLAG_DOCUMENT_7 and 2 other fieldsHigh correlation
LANDAREA_MODE is highly overall correlated with FLAG_DOCUMENT_7 and 2 other fieldsHigh correlation
LIVE_CITY_NOT_WORK_CITY is highly overall correlated with REG_CITY_NOT_WORK_CITYHigh correlation
LIVE_REGION_NOT_WORK_REGION is highly overall correlated with REG_REGION_NOT_WORK_REGIONHigh correlation
LIVINGAPARTMENTS_AVG is highly overall correlated with APARTMENTS_AVG and 24 other fieldsHigh correlation
LIVINGAPARTMENTS_MEDI is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
LIVINGAPARTMENTS_MODE is highly overall correlated with APARTMENTS_AVG and 24 other fieldsHigh correlation
LIVINGAREA_AVG is highly overall correlated with APARTMENTS_AVG and 27 other fieldsHigh correlation
LIVINGAREA_MEDI is highly overall correlated with APARTMENTS_AVG and 27 other fieldsHigh correlation
LIVINGAREA_MODE is highly overall correlated with APARTMENTS_AVG and 24 other fieldsHigh correlation
NAME_INCOME_TYPE is highly overall correlated with DAYS_EMPLOYED and 2 other fieldsHigh correlation
NONLIVINGAPARTMENTS_AVG is highly overall correlated with FLAG_DOCUMENT_7 and 5 other fieldsHigh correlation
NONLIVINGAPARTMENTS_MEDI is highly overall correlated with FLAG_DOCUMENT_7 and 5 other fieldsHigh correlation
NONLIVINGAPARTMENTS_MODE is highly overall correlated with FLAG_DOCUMENT_7 and 5 other fieldsHigh correlation
NONLIVINGAREA_AVG is highly overall correlated with FLAG_DOCUMENT_7 and 5 other fieldsHigh correlation
NONLIVINGAREA_MEDI is highly overall correlated with FLAG_DOCUMENT_7 and 5 other fieldsHigh correlation
NONLIVINGAREA_MODE is highly overall correlated with FLAG_DOCUMENT_7 and 5 other fieldsHigh correlation
OBS_30_CNT_SOCIAL_CIRCLE is highly overall correlated with OBS_60_CNT_SOCIAL_CIRCLEHigh correlation
OBS_60_CNT_SOCIAL_CIRCLE is highly overall correlated with OBS_30_CNT_SOCIAL_CIRCLEHigh correlation
OCCUPATION_TYPE is highly overall correlated with CODE_GENDER and 3 other fieldsHigh correlation
OWN_CAR_AGE is highly overall correlated with FLAG_DOCUMENT_4 and 1 other fieldsHigh correlation
REGION_POPULATION_RELATIVE is highly overall correlated with REGION_RATING_CLIENT and 1 other fieldsHigh correlation
REGION_RATING_CLIENT is highly overall correlated with REGION_POPULATION_RELATIVE and 1 other fieldsHigh correlation
REGION_RATING_CLIENT_W_CITY is highly overall correlated with REGION_POPULATION_RELATIVE and 1 other fieldsHigh correlation
REG_CITY_NOT_WORK_CITY is highly overall correlated with LIVE_CITY_NOT_WORK_CITYHigh correlation
REG_REGION_NOT_WORK_REGION is highly overall correlated with LIVE_REGION_NOT_WORK_REGIONHigh correlation
TOTALAREA_MODE is highly overall correlated with APARTMENTS_AVG and 26 other fieldsHigh correlation
WALLSMATERIAL_MODE is highly overall correlated with FLAG_DOCUMENT_7High correlation
YEARS_BEGINEXPLUATATION_AVG is highly overall correlated with FLAG_DOCUMENT_7 and 8 other fieldsHigh correlation
YEARS_BEGINEXPLUATATION_MEDI is highly overall correlated with FLAG_DOCUMENT_7 and 8 other fieldsHigh correlation
YEARS_BEGINEXPLUATATION_MODE is highly overall correlated with FLAG_DOCUMENT_7 and 8 other fieldsHigh correlation
YEARS_BUILD_AVG is highly overall correlated with FLAG_DOCUMENT_7 and 8 other fieldsHigh correlation
YEARS_BUILD_MEDI is highly overall correlated with FLAG_DOCUMENT_7 and 8 other fieldsHigh correlation
YEARS_BUILD_MODE is highly overall correlated with FLAG_DOCUMENT_7 and 8 other fieldsHigh correlation
NAME_CONTRACT_TYPE is highly imbalanced (92.6%)Imbalance
NAME_TYPE_SUITE is highly imbalanced (69.0%)Imbalance
NAME_EDUCATION_TYPE is highly imbalanced (52.2%)Imbalance
NAME_HOUSING_TYPE is highly imbalanced (73.7%)Imbalance
FLAG_MOBIL is highly imbalanced (> 99.9%)Imbalance
FLAG_CONT_MOBILE is highly imbalanced (98.3%)Imbalance
REG_REGION_NOT_LIVE_REGION is highly imbalanced (86.5%)Imbalance
REG_REGION_NOT_WORK_REGION is highly imbalanced (69.2%)Imbalance
LIVE_REGION_NOT_WORK_REGION is highly imbalanced (74.8%)Imbalance
REG_CITY_NOT_LIVE_CITY is highly imbalanced (60.7%)Imbalance
HOUSETYPE_MODE is highly imbalanced (90.4%)Imbalance
EMERGENCYSTATE_MODE is highly imbalanced (89.7%)Imbalance
FLAG_DOCUMENT_4 is highly imbalanced (99.8%)Imbalance
FLAG_DOCUMENT_5 is highly imbalanced (88.9%)Imbalance
FLAG_DOCUMENT_6 is highly imbalanced (57.2%)Imbalance
FLAG_DOCUMENT_7 is highly imbalanced (99.9%)Imbalance
FLAG_DOCUMENT_8 is highly imbalanced (56.9%)Imbalance
FLAG_DOCUMENT_9 is highly imbalanced (95.8%)Imbalance
FLAG_DOCUMENT_11 is highly imbalanced (98.7%)Imbalance
FLAG_DOCUMENT_18 is highly imbalanced (98.3%)Imbalance
AMT_REQ_CREDIT_BUREAU_HOUR is highly imbalanced (98.6%)Imbalance
AMT_REQ_CREDIT_BUREAU_DAY is highly imbalanced (98.8%)Imbalance
AMT_REQ_CREDIT_BUREAU_WEEK is highly imbalanced (98.3%)Imbalance
NAME_TYPE_SUITE has 911 (1.9%) missing valuesMissing
OWN_CAR_AGE has 32312 (66.3%) missing valuesMissing
OCCUPATION_TYPE has 15605 (32.0%) missing valuesMissing
EXT_SOURCE_1 has 20532 (42.1%) missing valuesMissing
EXT_SOURCE_3 has 8668 (17.8%) missing valuesMissing
APARTMENTS_AVG has 23887 (49.0%) missing valuesMissing
BASEMENTAREA_AVG has 27641 (56.7%) missing valuesMissing
YEARS_BEGINEXPLUATATION_AVG has 22856 (46.9%) missing valuesMissing
YEARS_BUILD_AVG has 31818 (65.3%) missing valuesMissing
COMMONAREA_AVG has 33495 (68.7%) missing valuesMissing
ELEVATORS_AVG has 25189 (51.7%) missing valuesMissing
ENTRANCES_AVG has 23579 (48.4%) missing valuesMissing
FLOORSMAX_AVG has 23321 (47.8%) missing valuesMissing
FLOORSMIN_AVG has 32466 (66.6%) missing valuesMissing
LANDAREA_AVG has 28254 (58.0%) missing valuesMissing
LIVINGAPARTMENTS_AVG has 32780 (67.2%) missing valuesMissing
LIVINGAREA_AVG has 23552 (48.3%) missing valuesMissing
NONLIVINGAPARTMENTS_AVG has 33347 (68.4%) missing valuesMissing
NONLIVINGAREA_AVG has 26084 (53.5%) missing valuesMissing
APARTMENTS_MODE has 23887 (49.0%) missing valuesMissing
BASEMENTAREA_MODE has 27641 (56.7%) missing valuesMissing
YEARS_BEGINEXPLUATATION_MODE has 22856 (46.9%) missing valuesMissing
YEARS_BUILD_MODE has 31818 (65.3%) missing valuesMissing
COMMONAREA_MODE has 33495 (68.7%) missing valuesMissing
ELEVATORS_MODE has 25189 (51.7%) missing valuesMissing
ENTRANCES_MODE has 23579 (48.4%) missing valuesMissing
FLOORSMAX_MODE has 23321 (47.8%) missing valuesMissing
FLOORSMIN_MODE has 32466 (66.6%) missing valuesMissing
LANDAREA_MODE has 28254 (58.0%) missing valuesMissing
LIVINGAPARTMENTS_MODE has 32780 (67.2%) missing valuesMissing
LIVINGAREA_MODE has 23552 (48.3%) missing valuesMissing
NONLIVINGAPARTMENTS_MODE has 33347 (68.4%) missing valuesMissing
NONLIVINGAREA_MODE has 26084 (53.5%) missing valuesMissing
APARTMENTS_MEDI has 23887 (49.0%) missing valuesMissing
BASEMENTAREA_MEDI has 27641 (56.7%) missing valuesMissing
YEARS_BEGINEXPLUATATION_MEDI has 22856 (46.9%) missing valuesMissing
YEARS_BUILD_MEDI has 31818 (65.3%) missing valuesMissing
COMMONAREA_MEDI has 33495 (68.7%) missing valuesMissing
ELEVATORS_MEDI has 25189 (51.7%) missing valuesMissing
ENTRANCES_MEDI has 23579 (48.4%) missing valuesMissing
FLOORSMAX_MEDI has 23321 (47.8%) missing valuesMissing
FLOORSMIN_MEDI has 32466 (66.6%) missing valuesMissing
LANDAREA_MEDI has 28254 (58.0%) missing valuesMissing
LIVINGAPARTMENTS_MEDI has 32780 (67.2%) missing valuesMissing
LIVINGAREA_MEDI has 23552 (48.3%) missing valuesMissing
NONLIVINGAPARTMENTS_MEDI has 33347 (68.4%) missing valuesMissing
NONLIVINGAREA_MEDI has 26084 (53.5%) missing valuesMissing
FONDKAPREMONT_MODE has 32797 (67.3%) missing valuesMissing
HOUSETYPE_MODE has 23619 (48.5%) missing valuesMissing
TOTALAREA_MODE has 22624 (46.4%) missing valuesMissing
WALLSMATERIAL_MODE has 23893 (49.0%) missing valuesMissing
EMERGENCYSTATE_MODE has 22209 (45.6%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_HOUR has 6049 (12.4%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_DAY has 6049 (12.4%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_WEEK has 6049 (12.4%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_MON has 6049 (12.4%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_QRT has 6049 (12.4%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_YEAR has 6049 (12.4%) missing valuesMissing
OBS_30_CNT_SOCIAL_CIRCLE is highly skewed (γ1 = 57.63848859)Skewed
DEF_30_CNT_SOCIAL_CIRCLE is highly skewed (γ1 = 20.00311186)Skewed
OBS_60_CNT_SOCIAL_CIRCLE is highly skewed (γ1 = 57.35158046)Skewed
SK_ID_CURR has unique valuesUnique
CNT_CHILDREN has 34685 (71.2%) zerosZeros
BASEMENTAREA_AVG has 2241 (4.6%) zerosZeros
COMMONAREA_AVG has 1373 (2.8%) zerosZeros
ELEVATORS_AVG has 13467 (27.6%) zerosZeros
LANDAREA_AVG has 2656 (5.4%) zerosZeros
NONLIVINGAPARTMENTS_AVG has 8815 (18.1%) zerosZeros
NONLIVINGAREA_AVG has 9469 (19.4%) zerosZeros
BASEMENTAREA_MODE has 2558 (5.2%) zerosZeros
COMMONAREA_MODE has 1604 (3.3%) zerosZeros
ELEVATORS_MODE has 14170 (29.1%) zerosZeros
FLOORSMAX_MODE has 511 (1.0%) zerosZeros
LANDAREA_MODE has 2971 (6.1%) zerosZeros
NONLIVINGAPARTMENTS_MODE has 9638 (19.8%) zerosZeros
NONLIVINGAREA_MODE has 10922 (22.4%) zerosZeros
BASEMENTAREA_MEDI has 2279 (4.7%) zerosZeros
COMMONAREA_MEDI has 1425 (2.9%) zerosZeros
ELEVATORS_MEDI has 13738 (28.2%) zerosZeros
LANDAREA_MEDI has 2708 (5.6%) zerosZeros
NONLIVINGAPARTMENTS_MEDI has 9117 (18.7%) zerosZeros
NONLIVINGAREA_MEDI has 9867 (20.2%) zerosZeros
OBS_30_CNT_SOCIAL_CIRCLE has 26025 (53.4%) zerosZeros
DEF_30_CNT_SOCIAL_CIRCLE has 43195 (88.6%) zerosZeros
OBS_60_CNT_SOCIAL_CIRCLE has 26140 (53.6%) zerosZeros
DEF_60_CNT_SOCIAL_CIRCLE has 44614 (91.5%) zerosZeros
DAYS_LAST_PHONE_CHANGE has 5801 (11.9%) zerosZeros
AMT_REQ_CREDIT_BUREAU_MON has 42341 (86.9%) zerosZeros
AMT_REQ_CREDIT_BUREAU_QRT has 23559 (48.3%) zerosZeros
AMT_REQ_CREDIT_BUREAU_YEAR has 10839 (22.2%) zerosZeros

Reproduction

Analysis started2024-09-01 10:14:29.946991
Analysis finished2024-09-01 10:14:54.903543
Duration24.96 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

SK_ID_CURR
Real number (ℝ)

UNIQUE 

Distinct48744
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277796.68
Minimum100001
Maximum456250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:54.939951image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum100001
5-th percentile117044.65
Q1188557.75
median277549
Q3367555.5
95-th percentile438546.85
Maximum456250
Range356249
Interquartile range (IQR)178997.75

Descriptive statistics

Standard deviation103169.55
Coefficient of variation (CV)0.3713851
Kurtosis-1.206293
Mean277796.68
Median Absolute Deviation (MAD)89492.5
Skewness0.0075596753
Sum1.3540921 × 1010
Variance1.0643955 × 1010
MonotonicityNot monotonic
2024-09-01T13:14:55.084541image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
208550 1
 
< 0.1%
224426 1
 
< 0.1%
399974 1
 
< 0.1%
192981 1
 
< 0.1%
288079 1
 
< 0.1%
363153 1
 
< 0.1%
115937 1
 
< 0.1%
241657 1
 
< 0.1%
409999 1
 
< 0.1%
431731 1
 
< 0.1%
Other values (48734) 48734
> 99.9%
ValueCountFrequency (%)
100001 1
< 0.1%
100005 1
< 0.1%
100013 1
< 0.1%
100028 1
< 0.1%
100038 1
< 0.1%
100042 1
< 0.1%
100057 1
< 0.1%
100065 1
< 0.1%
100066 1
< 0.1%
100067 1
< 0.1%
ValueCountFrequency (%)
456250 1
< 0.1%
456224 1
< 0.1%
456223 1
< 0.1%
456222 1
< 0.1%
456221 1
< 0.1%
456202 1
< 0.1%
456189 1
< 0.1%
456170 1
< 0.1%
456169 1
< 0.1%
456168 1
< 0.1%

NAME_CONTRACT_TYPE
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
Cash loans
48305 
Revolving loans
 
439

Length

Max length15
Median length10
Mean length10.045031
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCash loans
2nd rowCash loans
3rd rowCash loans
4th rowCash loans
5th rowCash loans

Common Values

ValueCountFrequency (%)
Cash loans 48305
99.1%
Revolving loans 439
 
0.9%

Length

2024-09-01T13:14:55.134697image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:55.170167image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

CODE_GENDER
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
F
32678 
M
16066 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowF
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
F 32678
67.0%
M 16066
33.0%

Length

2024-09-01T13:14:55.207811image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:55.242896image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_OWN_CAR
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
False
32311 
True
16433 
ValueCountFrequency (%)
False 32311
66.3%
True 16433
33.7%
2024-09-01T13:14:55.274094image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_OWN_REALTY
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size428.4 KiB
True
33658 
False
15086 
ValueCountFrequency (%)
True 33658
69.1%
False 15086
30.9%
2024-09-01T13:14:55.305736image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

CNT_CHILDREN
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.397054
Minimum0
Maximum20
Zeros34685
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:55.340631image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.70904683
Coefficient of variation (CV)1.7857693
Kurtosis17.636986
Mean0.397054
Median Absolute Deviation (MAD)0
Skewness2.3669304
Sum19354
Variance0.50274741
MonotonicityNot monotonic
2024-09-01T13:14:55.383200image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 34685
71.2%
1 9504
 
19.5%
2 3949
 
8.1%
3 535
 
1.1%
4 49
 
0.1%
5 12
 
< 0.1%
8 3
 
< 0.1%
6 3
 
< 0.1%
11 2
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
0 34685
71.2%
1 9504
 
19.5%
2 3949
 
8.1%
3 535
 
1.1%
4 49
 
0.1%
5 12
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
11 2
 
< 0.1%
8 3
 
< 0.1%
7 1
 
< 0.1%
6 3
 
< 0.1%
5 12
 
< 0.1%
4 49
 
0.1%
3 535
 
1.1%
2 3949
8.1%
1 9504
19.5%

AMT_INCOME_TOTAL
Real number (ℝ)

Distinct606
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178431.81
Minimum26941.5
Maximum4410000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:55.428218image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum26941.5
5-th percentile69367.5
Q1112500
median157500
Q3225000
95-th percentile360000
Maximum4410000
Range4383058.5
Interquartile range (IQR)112500

Descriptive statistics

Standard deviation101522.59
Coefficient of variation (CV)0.56897138
Kurtosis111.22732
Mean178431.81
Median Absolute Deviation (MAD)45000
Skewness5.3011893
Sum8.6974799 × 109
Variance1.0306837 × 1010
MonotonicityNot monotonic
2024-09-01T13:14:55.468523image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
135000 5562
 
11.4%
112500 4851
 
10.0%
157500 4435
 
9.1%
180000 4205
 
8.6%
225000 3764
 
7.7%
202500 3058
 
6.3%
90000 2944
 
6.0%
270000 1929
 
4.0%
67500 1369
 
2.8%
315000 1085
 
2.2%
Other values (596) 15542
31.9%
ValueCountFrequency (%)
26941.5 1
 
< 0.1%
27000 4
 
< 0.1%
28350 1
 
< 0.1%
28575 1
 
< 0.1%
28800 1
 
< 0.1%
29250 3
 
< 0.1%
30150 1
 
< 0.1%
30600 1
 
< 0.1%
31500 18
< 0.1%
31990.5 1
 
< 0.1%
ValueCountFrequency (%)
4410000 1
 
< 0.1%
3150000 1
 
< 0.1%
2700000 1
 
< 0.1%
2340000 1
 
< 0.1%
2250000 1
 
< 0.1%
1912500 1
 
< 0.1%
1800000 3
 
< 0.1%
1710000 1
 
< 0.1%
1575000 2
 
< 0.1%
1350000 10
< 0.1%

AMT_CREDIT
Real number (ℝ)

HIGH CORRELATION 

Distinct2937
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516740.44
Minimum45000
Maximum2245500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:55.510096image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile118512
Q1260640
median450000
Q3675000
95-th percentile1258650
Maximum2245500
Range2200500
Interquartile range (IQR)414360

Descriptive statistics

Standard deviation365397
Coefficient of variation (CV)0.70711905
Kurtosis3.3424588
Mean516740.44
Median Absolute Deviation (MAD)199386
Skewness1.648831
Sum2.5187996 × 1010
Variance1.3351497 × 1011
MonotonicityNot monotonic
2024-09-01T13:14:55.553295image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
450000 2118
 
4.3%
225000 1836
 
3.8%
675000 1426
 
2.9%
360000 839
 
1.7%
900000 835
 
1.7%
296280 641
 
1.3%
135000 629
 
1.3%
260640 608
 
1.2%
539100 565
 
1.2%
270000 492
 
1.0%
Other values (2927) 38755
79.5%
ValueCountFrequency (%)
45000 111
0.2%
47970 2
 
< 0.1%
49500 16
 
< 0.1%
49752 73
0.1%
52128 161
0.3%
54000 22
 
< 0.1%
54504 1
 
< 0.1%
54729 3
 
< 0.1%
55692 11
 
< 0.1%
57339 11
 
< 0.1%
ValueCountFrequency (%)
2245500 1
 
< 0.1%
2160000 1
 
< 0.1%
2156400 62
0.1%
2140227 1
 
< 0.1%
2129445 1
 
< 0.1%
2102490 7
 
< 0.1%
2085120 17
 
< 0.1%
2064753 1
 
< 0.1%
2059056 1
 
< 0.1%
2038203 1
 
< 0.1%

AMT_ANNUITY
Real number (ℝ)

HIGH CORRELATION 

Distinct7491
Distinct (%)15.4%
Missing24
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean29426.24
Minimum2295
Maximum180576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:55.593737image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum2295
5-th percentile9409.5
Q117973
median26199
Q337390.5
95-th percentile58864.5
Maximum180576
Range178281
Interquartile range (IQR)19417.5

Descriptive statistics

Standard deviation16016.368
Coefficient of variation (CV)0.54428864
Kurtosis5.0095757
Mean29426.24
Median Absolute Deviation (MAD)9144
Skewness1.4743723
Sum1.4336464 × 109
Variance2.5652405 × 108
MonotonicityNot monotonic
2024-09-01T13:14:55.638458image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
27652.5 269
 
0.6%
30838.5 232
 
0.5%
23107.5 221
 
0.5%
22977 220
 
0.5%
23539.5 186
 
0.4%
43659 176
 
0.4%
52452 174
 
0.4%
35685 172
 
0.4%
30951 170
 
0.3%
25578 159
 
0.3%
Other values (7481) 46741
95.9%
ValueCountFrequency (%)
2295 1
< 0.1%
2425.5 1
< 0.1%
2439 2
< 0.1%
2596.5 1
< 0.1%
2965.5 1
< 0.1%
2979 1
< 0.1%
2983.5 1
< 0.1%
3294 1
< 0.1%
3321 2
< 0.1%
3343.5 1
< 0.1%
ValueCountFrequency (%)
180576 2
 
< 0.1%
177826.5 3
< 0.1%
177696 1
 
< 0.1%
176062.5 2
 
< 0.1%
173704.5 7
< 0.1%
173574 2
 
< 0.1%
170968.5 1
 
< 0.1%
164457 1
 
< 0.1%
146610 1
 
< 0.1%
138555 1
 
< 0.1%

AMT_GOODS_PRICE
Real number (ℝ)

HIGH CORRELATION 

Distinct677
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462618.84
Minimum45000
Maximum2245500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:55.683752image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile103500
Q1225000
median396000
Q3630000
95-th percentile1125000
Maximum2245500
Range2200500
Interquartile range (IQR)405000

Descriptive statistics

Standard deviation336710.22
Coefficient of variation (CV)0.72783507
Kurtosis3.70499
Mean462618.84
Median Absolute Deviation (MAD)171000
Skewness1.7414831
Sum2.2549893 × 1010
Variance1.1337377 × 1011
MonotonicityNot monotonic
2024-09-01T13:14:55.725166image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
450000 4689
 
9.6%
225000 4450
 
9.1%
675000 3472
 
7.1%
360000 2007
 
4.1%
900000 1988
 
4.1%
135000 1573
 
3.2%
495000 1243
 
2.6%
270000 1225
 
2.5%
238500 1090
 
2.2%
180000 988
 
2.0%
Other values (667) 26019
53.4%
ValueCountFrequency (%)
45000 370
0.8%
49500 34
 
0.1%
54000 98
 
0.2%
58500 83
 
0.2%
59377.5 1
 
< 0.1%
63000 40
 
0.1%
63180 1
 
< 0.1%
67045.5 1
 
< 0.1%
67500 368
0.8%
68179.5 1
 
< 0.1%
ValueCountFrequency (%)
2245500 1
 
< 0.1%
2160000 1
 
< 0.1%
1800000 730
1.5%
1795500 4
 
< 0.1%
1791000 1
 
< 0.1%
1786500 6
 
< 0.1%
1782000 8
 
< 0.1%
1777500 7
 
< 0.1%
1773000 6
 
< 0.1%
1770430.5 1
 
< 0.1%

NAME_TYPE_SUITE
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing911
Missing (%)1.9%
Memory size3.2 MiB
Unaccompanied
39727 
Family
5881 
Spouse, partner
 
1448
Children
 
408
Other_B
 
211
Other values (2)
 
158

Length

Max length15
Median length13
Mean length12.119165
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnaccompanied
2nd rowUnaccompanied
3rd rowUnaccompanied
4th rowUnaccompanied
5th rowUnaccompanied

Common Values

ValueCountFrequency (%)
Unaccompanied 39727
81.5%
Family 5881
 
12.1%
Spouse, partner 1448
 
3.0%
Children 408
 
0.8%
Other_B 211
 
0.4%
Other_A 109
 
0.2%
Group of people 49
 
0.1%
(Missing) 911
 
1.9%

Length

2024-09-01T13:14:55.767594image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:55.805986image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

NAME_INCOME_TYPE
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Working
24533 
Commercial associate
11402 
Pensioner
9273 
State servant
3532 
Student
 
2
Other values (2)
 
2

Length

Max length20
Median length7
Mean length10.85629
Min length7

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowWorking
2nd rowPensioner
3rd rowCommercial associate
4th rowWorking
5th rowWorking

Common Values

ValueCountFrequency (%)
Working 24533
50.3%
Commercial associate 11402
23.4%
Pensioner 9273
 
19.0%
State servant 3532
 
7.2%
Student 2
 
< 0.1%
Unemployed 1
 
< 0.1%
Businessman 1
 
< 0.1%

Length

2024-09-01T13:14:55.858671image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:55.901419image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

NAME_EDUCATION_TYPE
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.8 MiB
Secondary / secondary special
33988 
Higher education
12516 
Incomplete higher
 
1724
Lower secondary
 
475
Academic degree
 
41

Length

Max length29
Median length29
Mean length25.089365
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHigher education
2nd rowHigher education
3rd rowSecondary / secondary special
4th rowSecondary / secondary special
5th rowSecondary / secondary special

Common Values

ValueCountFrequency (%)
Secondary / secondary special 33988
69.7%
Higher education 12516
 
25.7%
Incomplete higher 1724
 
3.5%
Lower secondary 475
 
1.0%
Academic degree 41
 
0.1%

Length

2024-09-01T13:14:55.954963image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:55.996325image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

NAME_FAMILY_STATUS
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
Married
32283 
Single / not married
7036 
Civil marriage
4261 
Separated
 
2955
Widow
 
2209

Length

Max length20
Median length7
Mean length9.5190177
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMarried
2nd rowSingle / not married
3rd rowMarried
4th rowMarried
5th rowMarried

Common Values

ValueCountFrequency (%)
Married 32283
66.2%
Single / not married 7036
 
14.4%
Civil marriage 4261
 
8.7%
Separated 2955
 
6.1%
Widow 2209
 
4.5%

Length

2024-09-01T13:14:56.061285image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:56.105810image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

NAME_HOUSING_TYPE
Categorical

IMBALANCE 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
House / apartment
43645 
With parents
 
2234
Municipal apartment
 
1617
Rented apartment
 
718
Office apartment
 
407

Length

Max length19
Median length17
Mean length16.809064
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHouse / apartment
2nd rowHouse / apartment
3rd rowHouse / apartment
4th rowHouse / apartment
5th rowHouse / apartment

Common Values

ValueCountFrequency (%)
House / apartment 43645
89.5%
With parents 2234
 
4.6%
Municipal apartment 1617
 
3.3%
Rented apartment 718
 
1.5%
Office apartment 407
 
0.8%
Co-op apartment 123
 
0.3%

Length

2024-09-01T13:14:56.174245image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:56.230856image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REGION_POPULATION_RELATIVE
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.021225641
Minimum0.000253
Maximum0.072508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:56.291499image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.000253
5-th percentile0.00496
Q10.010006
median0.01885
Q30.028663
95-th percentile0.04622
Maximum0.072508
Range0.072255
Interquartile range (IQR)0.018657

Descriptive statistics

Standard deviation0.014428194
Coefficient of variation (CV)0.67975306
Kurtosis2.9862242
Mean0.021225641
Median Absolute Deviation (MAD)0.009193
Skewness1.4934404
Sum1034.6226
Variance0.0002081728
MonotonicityNot monotonic
2024-09-01T13:14:56.337047image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.035792 2582
 
5.3%
0.04622 2497
 
5.1%
0.030755 1991
 
4.1%
0.026392 1805
 
3.7%
0.028663 1740
 
3.6%
0.025164 1599
 
3.3%
0.031329 1595
 
3.3%
0.072508 1565
 
3.2%
0.019101 1466
 
3.0%
0.020713 1327
 
2.7%
Other values (71) 30577
62.7%
ValueCountFrequency (%)
0.000253 1
 
< 0.1%
0.000533 1
 
< 0.1%
0.000938 5
 
< 0.1%
0.001276 69
 
0.1%
0.001333 28
 
0.1%
0.001417 79
 
0.2%
0.002042 256
0.5%
0.002134 173
0.4%
0.002506 119
 
0.2%
0.003069 336
0.7%
ValueCountFrequency (%)
0.072508 1565
3.2%
0.04622 2497
5.1%
0.035792 2582
5.3%
0.032561 1088
2.2%
0.031329 1595
3.3%
0.030755 1991
4.1%
0.028663 1740
3.6%
0.026392 1805
3.7%
0.025164 1599
3.3%
0.02461 860
 
1.8%

DAYS_BIRTH
Real number (ℝ)

HIGH CORRELATION 

Distinct15477
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16068.085
Minimum-25195
Maximum-7338
Zeros0
Zeros (%)0.0%
Negative48744
Negative (%)100.0%
Memory size761.6 KiB
2024-09-01T13:14:56.380983image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-25195
5-th percentile-23201.7
Q1-19637
median-15785
Q3-12496
95-th percentile-9485
Maximum-7338
Range17857
Interquartile range (IQR)7141

Descriptive statistics

Standard deviation4325.9004
Coefficient of variation (CV)-0.26922315
Kurtosis-1.0344566
Mean-16068.085
Median Absolute Deviation (MAD)3547
Skewness-0.11783441
Sum-7.8322272 × 108
Variance18713414
MonotonicityNot monotonic
2024-09-01T13:14:56.435346image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-11590 13
 
< 0.1%
-11603 12
 
< 0.1%
-11667 12
 
< 0.1%
-12038 12
 
< 0.1%
-11997 12
 
< 0.1%
-15812 12
 
< 0.1%
-15609 11
 
< 0.1%
-15367 11
 
< 0.1%
-16219 11
 
< 0.1%
-17334 11
 
< 0.1%
Other values (15467) 48627
99.8%
ValueCountFrequency (%)
-25195 1
< 0.1%
-25175 1
< 0.1%
-25154 1
< 0.1%
-25126 1
< 0.1%
-25121 1
< 0.1%
-25087 1
< 0.1%
-25080 1
< 0.1%
-25048 1
< 0.1%
-25023 1
< 0.1%
-25021 1
< 0.1%
ValueCountFrequency (%)
-7338 1
< 0.1%
-7372 1
< 0.1%
-7650 1
< 0.1%
-7676 1
< 0.1%
-7684 1
< 0.1%
-7696 1
< 0.1%
-7725 1
< 0.1%
-7731 1
< 0.1%
-7742 1
< 0.1%
-7756 1
< 0.1%

DAYS_EMPLOYED
Real number (ℝ)

HIGH CORRELATION 

Distinct7863
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67485.366
Minimum-17463
Maximum365243
Zeros0
Zeros (%)0.0%
Negative39470
Negative (%)81.0%
Memory size761.6 KiB
2024-09-01T13:14:56.478006image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-17463
5-th percentile-6728
Q1-2910
median-1293
Q3-296
95-th percentile365243
Maximum365243
Range382706
Interquartile range (IQR)2614

Descriptive statistics

Standard deviation144348.51
Coefficient of variation (CV)2.1389601
Kurtosis0.48998014
Mean67485.366
Median Absolute Deviation (MAD)1181
Skewness1.577525
Sum3.2895067 × 109
Variance2.0836492 × 1010
MonotonicityNot monotonic
2024-09-01T13:14:56.919646image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
365243 9274
 
19.0%
-1119 32
 
0.1%
-389 31
 
0.1%
-1240 30
 
0.1%
-148 28
 
0.1%
-277 27
 
0.1%
-655 27
 
0.1%
-1032 26
 
0.1%
-192 26
 
0.1%
-626 26
 
0.1%
Other values (7853) 39217
80.5%
ValueCountFrequency (%)
-17463 1
< 0.1%
-17124 1
< 0.1%
-17077 1
< 0.1%
-16774 1
< 0.1%
-16547 1
< 0.1%
-16432 1
< 0.1%
-16425 1
< 0.1%
-16354 1
< 0.1%
-16307 1
< 0.1%
-16295 1
< 0.1%
ValueCountFrequency (%)
365243 9274
19.0%
-1 1
 
< 0.1%
-5 1
 
< 0.1%
-14 1
 
< 0.1%
-16 1
 
< 0.1%
-18 1
 
< 0.1%
-19 1
 
< 0.1%
-24 1
 
< 0.1%
-25 1
 
< 0.1%
-26 2
 
< 0.1%

DAYS_REGISTRATION
Real number (ℝ)

Distinct12618
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4967.6527
Minimum-23722
Maximum0
Zeros13
Zeros (%)< 0.1%
Negative48731
Negative (%)> 99.9%
Memory size761.6 KiB
2024-09-01T13:14:56.964144image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-23722
5-th percentile-11439.7
Q1-7459.25
median-4490
Q3-1901
95-th percentile-345
Maximum0
Range23722
Interquartile range (IQR)5558.25

Descriptive statistics

Standard deviation3552.612
Coefficient of variation (CV)-0.71514903
Kurtosis-0.30050777
Mean-4967.6527
Median Absolute Deviation (MAD)2759
Skewness-0.61326575
Sum-2.4214326 × 108
Variance12621052
MonotonicityNot monotonic
2024-09-01T13:14:57.005979image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-818 20
 
< 0.1%
-427 19
 
< 0.1%
-991 18
 
< 0.1%
-3758 16
 
< 0.1%
-650 15
 
< 0.1%
-832 15
 
< 0.1%
-1435 15
 
< 0.1%
-819 15
 
< 0.1%
-223 15
 
< 0.1%
-602 15
 
< 0.1%
Other values (12608) 48581
99.7%
ValueCountFrequency (%)
-23722 1
< 0.1%
-22842 1
< 0.1%
-21099 1
< 0.1%
-19842 1
< 0.1%
-19263 1
< 0.1%
-19102 1
< 0.1%
-18858 1
< 0.1%
-18747 1
< 0.1%
-18612 1
< 0.1%
-18590 1
< 0.1%
ValueCountFrequency (%)
0 13
< 0.1%
-1 10
< 0.1%
-2 7
< 0.1%
-3 10
< 0.1%
-4 7
< 0.1%
-5 9
< 0.1%
-6 11
< 0.1%
-7 13
< 0.1%
-8 8
< 0.1%
-9 7
< 0.1%

DAYS_ID_PUBLISH
Real number (ℝ)

Distinct5880
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3051.7129
Minimum-6348
Maximum0
Zeros5
Zeros (%)< 0.1%
Negative48739
Negative (%)> 99.9%
Memory size761.6 KiB
2024-09-01T13:14:57.045098image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-6348
5-th percentile-5124
Q1-4448
median-3234
Q3-1706
95-th percentile-381
Maximum0
Range6348
Interquartile range (IQR)2742

Descriptive statistics

Standard deviation1569.2767
Coefficient of variation (CV)-0.51422815
Kurtosis-1.1643891
Mean-3051.7129
Median Absolute Deviation (MAD)1309
Skewness0.28365762
Sum-1.487527 × 108
Variance2462629.4
MonotonicityNot monotonic
2024-09-01T13:14:57.187927image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-4557 40
 
0.1%
-4255 39
 
0.1%
-4291 35
 
0.1%
-4277 32
 
0.1%
-4592 32
 
0.1%
-4263 30
 
0.1%
-4270 30
 
0.1%
-4543 30
 
0.1%
-4319 29
 
0.1%
-4501 29
 
0.1%
Other values (5870) 48418
99.3%
ValueCountFrequency (%)
-6348 1
< 0.1%
-6346 1
< 0.1%
-6331 1
< 0.1%
-6328 1
< 0.1%
-6317 1
< 0.1%
-6315 1
< 0.1%
-6299 1
< 0.1%
-6296 1
< 0.1%
-6295 1
< 0.1%
-6293 1
< 0.1%
ValueCountFrequency (%)
0 5
 
< 0.1%
-1 4
 
< 0.1%
-2 7
< 0.1%
-3 7
< 0.1%
-4 8
< 0.1%
-5 13
< 0.1%
-6 10
< 0.1%
-7 12
< 0.1%
-8 17
< 0.1%
-9 6
 
< 0.1%

OWN_CAR_AGE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct52
Distinct (%)0.3%
Missing32312
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean11.786027
Minimum0
Maximum74
Zeros118
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:57.230980image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median9
Q315
95-th percentile28
Maximum74
Range74
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.462889
Coefficient of variation (CV)0.97258294
Kurtosis10.596629
Mean11.786027
Median Absolute Deviation (MAD)5
Skewness2.9059129
Sum193668
Variance131.39783
MonotonicityNot monotonic
2024-09-01T13:14:57.273431image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4 1352
 
2.8%
7 1201
 
2.5%
8 1097
 
2.3%
3 1027
 
2.1%
2 980
 
2.0%
9 849
 
1.7%
5 829
 
1.7%
10 764
 
1.6%
11 710
 
1.5%
14 706
 
1.4%
Other values (42) 6917
 
14.2%
(Missing) 32312
66.3%
ValueCountFrequency (%)
0 118
 
0.2%
1 650
1.3%
2 980
2.0%
3 1027
2.1%
4 1352
2.8%
5 829
1.7%
6 498
 
1.0%
7 1201
2.5%
8 1097
2.3%
9 849
1.7%
ValueCountFrequency (%)
74 1
 
< 0.1%
65 459
0.9%
56 1
 
< 0.1%
55 1
 
< 0.1%
52 1
 
< 0.1%
50 1
 
< 0.1%
49 1
 
< 0.1%
44 3
 
< 0.1%
43 1
 
< 0.1%
42 10
 
< 0.1%

FLAG_MOBIL
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
1
48743 
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 48743
> 99.9%
0 1
 
< 0.1%

Length

2024-09-01T13:14:57.318287image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:57.350950image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_EMP_PHONE
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
1
39469 
0
9275 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 39469
81.0%
0 9275
 
19.0%

Length

2024-09-01T13:14:57.387811image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:57.421175image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_WORK_PHONE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
38766 
1
9978 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 38766
79.5%
1 9978
 
20.5%

Length

2024-09-01T13:14:57.457817image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:57.491580image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_CONT_MOBILE
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
1
48666 
0
 
78

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 48666
99.8%
0 78
 
0.2%

Length

2024-09-01T13:14:57.529437image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:57.564458image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_PHONE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
35918 
1
12826 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 35918
73.7%
1 12826
 
26.3%

Length

2024-09-01T13:14:57.601467image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:57.634204image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_EMAIL
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
40816 
1
7928 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 40816
83.7%
1 7928
 
16.3%

Length

2024-09-01T13:14:57.671127image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:57.704618image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

OCCUPATION_TYPE
Categorical

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)0.1%
Missing15605
Missing (%)32.0%
Memory size3.1 MiB
Laborers
8655 
Sales staff
5072 
Core staff
4361 
Managers
3574 
Drivers
2773 
Other values (13)
8704 

Length

Max length21
Median length20
Mean length10.536075
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowManagers
2nd rowPrivate service staff
3rd rowLaborers
4th rowCore staff
5th rowMedicine staff

Common Values

ValueCountFrequency (%)
Laborers 8655
17.8%
Sales staff 5072
 
10.4%
Core staff 4361
 
8.9%
Managers 3574
 
7.3%
Drivers 2773
 
5.7%
High skill tech staff 1854
 
3.8%
Accountants 1628
 
3.3%
Medicine staff 1316
 
2.7%
Security staff 915
 
1.9%
Cooking staff 894
 
1.8%
Other values (8) 2097
 
4.3%
(Missing) 15605
32.0%

Length

2024-09-01T13:14:57.747330image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

CNT_FAM_MEMBERS
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1467668
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:57.786934image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum21
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89042289
Coefficient of variation (CV)0.41477393
Kurtosis6.3259146
Mean2.1467668
Median Absolute Deviation (MAD)0
Skewness1.1676884
Sum104642
Variance0.79285293
MonotonicityNot monotonic
2024-09-01T13:14:57.830523image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 26054
53.5%
1 10251
 
21.0%
3 8173
 
16.8%
4 3690
 
7.6%
5 512
 
1.1%
6 43
 
0.1%
7 12
 
< 0.1%
10 3
 
< 0.1%
13 2
 
< 0.1%
8 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
1 10251
 
21.0%
2 26054
53.5%
3 8173
 
16.8%
4 3690
 
7.6%
5 512
 
1.1%
6 43
 
0.1%
7 12
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
13 2
 
< 0.1%
10 3
 
< 0.1%
9 1
 
< 0.1%
8 2
 
< 0.1%
7 12
 
< 0.1%
6 43
 
0.1%
5 512
 
1.1%
4 3690
7.6%
3 8173
16.8%

REGION_RATING_CLIENT
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
2
35356 
3
7624 
1
5764 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
2 35356
72.5%
3 7624
 
15.6%
1 5764
 
11.8%

Length

2024-09-01T13:14:57.876417image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:57.910657image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REGION_RATING_CLIENT_W_CITY
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
2
35776 
3
6792 
1
6175 
-1
 
1

Length

Max length2
Median length1
Mean length1.0000205
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row2
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
2 35776
73.4%
3 6792
 
13.9%
1 6175
 
12.7%
-1 1
 
< 0.1%

Length

2024-09-01T13:14:57.951298image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:57.989087image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

WEEKDAY_APPR_PROCESS_START
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.0 MiB
TUESDAY
9751 
WEDNESDAY
8457 
THURSDAY
8418 
MONDAY
8406 
FRIDAY
7250 
Other values (2)
6462 

Length

Max length9
Median length8
Mean length7.2548006
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMONDAY
2nd rowFRIDAY
3rd rowMONDAY
4th rowFRIDAY
5th rowMONDAY

Common Values

ValueCountFrequency (%)
TUESDAY 9751
20.0%
WEDNESDAY 8457
17.3%
THURSDAY 8418
17.3%
MONDAY 8406
17.2%
FRIDAY 7250
14.9%
SATURDAY 4603
9.4%
SUNDAY 1859
 
3.8%

Length

2024-09-01T13:14:58.034103image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:58.077943image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

HOUR_APPR_PROCESS_START
Real number (ℝ)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.007365
Minimum0
Maximum23
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:58.125169image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median12
Q314
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.278172
Coefficient of variation (CV)0.27301344
Kurtosis-0.1698286
Mean12.007365
Median Absolute Deviation (MAD)2
Skewness0.013816118
Sum585287
Variance10.746412
MonotonicityNot monotonic
2024-09-01T13:14:58.167348image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10 6474
13.3%
11 5934
12.2%
12 5418
11.1%
13 4715
9.7%
9 4341
8.9%
14 4197
8.6%
15 3761
7.7%
16 3106
6.4%
8 2574
 
5.3%
17 2356
 
4.8%
Other values (14) 5868
12.0%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 19
 
< 0.1%
2 39
 
0.1%
3 240
 
0.5%
4 302
 
0.6%
5 554
 
1.1%
6 1013
 
2.1%
7 1306
 
2.7%
8 2574
5.3%
9 4341
8.9%
ValueCountFrequency (%)
23 7
 
< 0.1%
22 25
 
0.1%
21 69
 
0.1%
20 214
 
0.4%
19 629
 
1.3%
18 1443
 
3.0%
17 2356
4.8%
16 3106
6.4%
15 3761
7.7%
14 4197
8.6%

REG_REGION_NOT_LIVE_REGION
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
47826 
1
 
918

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47826
98.1%
1 918
 
1.9%

Length

2024-09-01T13:14:58.209716image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:58.242962image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REG_REGION_NOT_WORK_REGION
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
46055 
1
 
2689

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 46055
94.5%
1 2689
 
5.5%

Length

2024-09-01T13:14:58.279906image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:58.313132image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

LIVE_REGION_NOT_WORK_REGION
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
46695 
1
 
2049

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 46695
95.8%
1 2049
 
4.2%

Length

2024-09-01T13:14:58.349164image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:58.383195image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REG_CITY_NOT_LIVE_CITY
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
44968 
1
 
3776

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44968
92.3%
1 3776
 
7.7%

Length

2024-09-01T13:14:58.418743image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:58.451398image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REG_CITY_NOT_WORK_CITY
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
37793 
1
10951 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 37793
77.5%
1 10951
 
22.5%

Length

2024-09-01T13:14:58.486720image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:58.519645image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

LIVE_CITY_NOT_WORK_CITY
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
40252 
1
8492 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 40252
82.6%
1 8492
 
17.4%

Length

2024-09-01T13:14:58.556479image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:58.589270image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

ORGANIZATION_TYPE
Text

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
2024-09-01T13:14:58.668709image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length22
Median length17
Mean length12.425098
Min length3

Characters and Unicode

Total characters605649
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBusiness Entity Type 3
2nd rowXNA
3rd rowBusiness Entity Type 3
4th rowOther
5th rowGovernment
ValueCountFrequency (%)
type 19356
19.2%
business 13206
13.1%
entity 13206
13.1%
3 12081
12.0%
xna 9274
9.2%
self-employed 5920
 
5.9%
other 2707
 
2.7%
trade 2332
 
2.3%
industry 2277
 
2.3%
2 2246
 
2.2%
Other values (40) 18451
18.3%
2024-09-01T13:14:58.822166image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 68086
 
11.2%
52312
 
8.6%
t 47420
 
7.8%
s 46897
 
7.7%
y 42570
 
7.0%
n 41191
 
6.8%
i 37348
 
6.2%
p 26817
 
4.4%
u 18840
 
3.1%
r 18680
 
3.1%
Other values (42) 205488
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 605649
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 68086
 
11.2%
52312
 
8.6%
t 47420
 
7.8%
s 46897
 
7.7%
y 42570
 
7.0%
n 41191
 
6.8%
i 37348
 
6.2%
p 26817
 
4.4%
u 18840
 
3.1%
r 18680
 
3.1%
Other values (42) 205488
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 605649
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 68086
 
11.2%
52312
 
8.6%
t 47420
 
7.8%
s 46897
 
7.7%
y 42570
 
7.0%
n 41191
 
6.8%
i 37348
 
6.2%
p 26817
 
4.4%
u 18840
 
3.1%
r 18680
 
3.1%
Other values (42) 205488
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 605649
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 68086
 
11.2%
52312
 
8.6%
t 47420
 
7.8%
s 46897
 
7.7%
y 42570
 
7.0%
n 41191
 
6.8%
i 37348
 
6.2%
p 26817
 
4.4%
u 18840
 
3.1%
r 18680
 
3.1%
Other values (42) 205488
33.9%

EXT_SOURCE_1
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27207
Distinct (%)96.4%
Missing20532
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean0.50117981
Minimum0.01345791
Maximum0.93914453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:58.879337image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.01345791
5-th percentile0.15714244
Q10.34369504
median0.50677126
Q30.66595594
95-th percentile0.82125506
Maximum0.93914453
Range0.92568662
Interquartile range (IQR)0.3222609

Descriptive statistics

Standard deviation0.20514231
Coefficient of variation (CV)0.40931879
Kurtosis-0.87480528
Mean0.50117981
Median Absolute Deviation (MAD)0.16091109
Skewness-0.12178839
Sum14139.285
Variance0.042083369
MonotonicityNot monotonic
2024-09-01T13:14:58.920812image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.3776684052 4
 
< 0.1%
0.415281227 4
 
< 0.1%
0.6179579067 3
 
< 0.1%
0.7066083434 3
 
< 0.1%
0.404893237 3
 
< 0.1%
0.3004303654 3
 
< 0.1%
0.3392222794 3
 
< 0.1%
0.4872457519 3
 
< 0.1%
0.4374936493 3
 
< 0.1%
0.4899160944 3
 
< 0.1%
Other values (27197) 28180
57.8%
(Missing) 20532
42.1%
ValueCountFrequency (%)
0.0134579105 1
< 0.1%
0.01500293922 1
< 0.1%
0.01572504956 1
< 0.1%
0.01583281177 1
< 0.1%
0.01601914037 1
< 0.1%
0.01731556875 1
< 0.1%
0.01751705876 1
< 0.1%
0.01757511452 1
< 0.1%
0.01773686045 1
< 0.1%
0.01931841085 1
< 0.1%
ValueCountFrequency (%)
0.9391445327 1
< 0.1%
0.9341448662 1
< 0.1%
0.9320799838 1
< 0.1%
0.931470858 1
< 0.1%
0.9291331606 1
< 0.1%
0.9288637886 1
< 0.1%
0.926936601 1
< 0.1%
0.9248527537 1
< 0.1%
0.9241679792 1
< 0.1%
0.9239850284 1
< 0.1%

EXT_SOURCE_2
Real number (ℝ)

HIGH CORRELATION 

Distinct38885
Distinct (%)79.8%
Missing8
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.51802108
Minimum8.0978559 × 10-6
Maximum0.85499967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:58.961690image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum8.0978559 × 10-6
5-th percentile0.15450809
Q10.40806617
median0.55875794
Q30.65849701
95-th percentile0.74776508
Maximum0.85499967
Range0.85499157
Interquartile range (IQR)0.25043084

Descriptive statistics

Standard deviation0.18127812
Coefficient of variation (CV)0.34994352
Kurtosis-0.11319685
Mean0.51802108
Median Absolute Deviation (MAD)0.11605924
Skewness-0.781058
Sum25246.275
Variance0.032861756
MonotonicityNot monotonic
2024-09-01T13:14:59.002754image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.2858978721 100
 
0.2%
0.2518770397 68
 
0.1%
0.5716197626 55
 
0.1%
0.5637630974 51
 
0.1%
0.2508400645 50
 
0.1%
0.1512429506 48
 
0.1%
0.4724002765 35
 
0.1%
0.3424659494 35
 
0.1%
0.1504111262 33
 
0.1%
0.482132746 30
 
0.1%
Other values (38875) 48231
98.9%
ValueCountFrequency (%)
8.097855876 × 10-61
< 0.1%
1.788693782 × 10-51
< 0.1%
2.546852218 × 10-51
< 0.1%
4.299709119 × 10-51
< 0.1%
0.0001049387891 1
< 0.1%
0.0001113521338 1
< 0.1%
0.0001139581017 1
< 0.1%
0.000184590011 1
< 0.1%
0.0002051401374 1
< 0.1%
0.0002126661555 1
< 0.1%
ValueCountFrequency (%)
0.8549996664 5
< 0.1%
0.8251289217 1
 
< 0.1%
0.8179351007 1
 
< 0.1%
0.8168285576 1
 
< 0.1%
0.8136666962 1
 
< 0.1%
0.8128863176 1
 
< 0.1%
0.8127898414 1
 
< 0.1%
0.8125601406 1
 
< 0.1%
0.8109193413 1
 
< 0.1%
0.8109126354 1
 
< 0.1%

EXT_SOURCE_3
Real number (ℝ)

MISSING 

Distinct702
Distinct (%)1.8%
Missing8668
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean0.50010563
Minimum0.00052726524
Maximum0.88253031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.044456image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.00052726524
5-th percentile0.15951954
Q10.36394524
median0.51909734
Q30.65289655
95-th percentile0.77515527
Maximum0.88253031
Range0.88200305
Interquartile range (IQR)0.28895131

Descriptive statistics

Standard deviation0.18949799
Coefficient of variation (CV)0.37891594
Kurtosis-0.73301891
Mean0.50010563
Median Absolute Deviation (MAD)0.14338633
Skewness-0.33620779
Sum20042.233
Variance0.03590949
MonotonicityNot monotonic
2024-09-01T13:14:59.087274image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.7062051097 219
 
0.4%
0.7463002131 200
 
0.4%
0.6706517531 197
 
0.4%
0.5954562029 197
 
0.4%
0.7136313997 195
 
0.4%
0.5814837058 194
 
0.4%
0.6263042767 193
 
0.4%
0.5549467685 187
 
0.4%
0.6832688314 185
 
0.4%
0.5585066277 183
 
0.4%
Other values (692) 38126
78.2%
(Missing) 8668
 
17.8%
ValueCountFrequency (%)
0.0005272652387 64
0.1%
0.02149151574 1
 
< 0.1%
0.02242068001 1
 
< 0.1%
0.02405719642 1
 
< 0.1%
0.02474394007 1
 
< 0.1%
0.02654542968 1
 
< 0.1%
0.02673244634 2
 
< 0.1%
0.02749340706 2
 
< 0.1%
0.02827539983 1
 
< 0.1%
0.02847424788 1
 
< 0.1%
ValueCountFrequency (%)
0.8825303128 2
< 0.1%
0.881026575 2
< 0.1%
0.8802684804 3
< 0.1%
0.878739767 1
 
< 0.1%
0.8771942582 3
< 0.1%
0.8724558162 1
 
< 0.1%
0.8692108009 1
 
< 0.1%
0.8658959153 2
< 0.1%
0.8633633824 3
< 0.1%
0.8625103026 1
 
< 0.1%

APARTMENTS_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1543
Distinct (%)6.2%
Missing23887
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean0.12238774
Minimum0
Maximum1
Zeros121
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.130668image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0113
Q10.0619
median0.0928
Q30.1485
95-th percentile0.334
Maximum1
Range1
Interquartile range (IQR)0.0866

Descriptive statistics

Standard deviation0.11311239
Coefficient of variation (CV)0.92421342
Kurtosis11.883918
Mean0.12238774
Median Absolute Deviation (MAD)0.0433
Skewness2.7313952
Sum3042.192
Variance0.012794413
MonotonicityNot monotonic
2024-09-01T13:14:59.174209image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0825 1110
 
2.3%
0.0619 1013
 
2.1%
0.0928 768
 
1.6%
0.0722 633
 
1.3%
0.1485 487
 
1.0%
0.0082 479
 
1.0%
0.1031 438
 
0.9%
0.0124 427
 
0.9%
0.0165 424
 
0.9%
0.1237 373
 
0.8%
Other values (1533) 18705
38.4%
(Missing) 23887
49.0%
ValueCountFrequency (%)
0 121
0.2%
0.001 28
 
0.1%
0.0013 1
 
< 0.1%
0.0015 1
 
< 0.1%
0.0021 103
0.2%
0.0024 1
 
< 0.1%
0.0026 2
 
< 0.1%
0.0031 53
0.1%
0.0034 1
 
< 0.1%
0.0036 3
 
< 0.1%
ValueCountFrequency (%)
1 35
0.1%
0.9701 1
 
< 0.1%
0.966 1
 
< 0.1%
0.9577 2
 
< 0.1%
0.9562 1
 
< 0.1%
0.9557 2
 
< 0.1%
0.9309 2
 
< 0.1%
0.9206 1
 
< 0.1%
0.9021 1
 
< 0.1%
0.901 1
 
< 0.1%

BASEMENTAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2816
Distinct (%)13.3%
Missing27641
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean0.090065484
Minimum0
Maximum1
Zeros2241
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.218093image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0467
median0.0781
Q30.1134
95-th percentile0.22619
Maximum1
Range1
Interquartile range (IQR)0.0667

Descriptive statistics

Standard deviation0.081536319
Coefficient of variation (CV)0.90530041
Kurtosis24.872442
Mean0.090065484
Median Absolute Deviation (MAD)0.0333
Skewness3.4500648
Sum1900.6519
Variance0.0066481713
MonotonicityNot monotonic
2024-09-01T13:14:59.261981image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2241
 
4.6%
0.1091 59
 
0.1%
0.0727 47
 
0.1%
0.0545 45
 
0.1%
0.0804 45
 
0.1%
0.0764 42
 
0.1%
0.0803 42
 
0.1%
0.0795 41
 
0.1%
0.0818 41
 
0.1%
0.0785 41
 
0.1%
Other values (2806) 18459
37.9%
(Missing) 27641
56.7%
ValueCountFrequency (%)
0 2241
4.6%
0.0001 15
 
< 0.1%
0.0002 3
 
< 0.1%
0.0003 3
 
< 0.1%
0.0004 6
 
< 0.1%
0.0005 8
 
< 0.1%
0.0006 1
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 7
 
< 0.1%
0.0009 7
 
< 0.1%
ValueCountFrequency (%)
1 21
< 0.1%
0.9636 1
 
< 0.1%
0.9397 2
 
< 0.1%
0.9169 1
 
< 0.1%
0.8246 2
 
< 0.1%
0.8165 1
 
< 0.1%
0.8152 1
 
< 0.1%
0.815 1
 
< 0.1%
0.7891 1
 
< 0.1%
0.7547 1
 
< 0.1%

YEARS_BEGINEXPLUATATION_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct175
Distinct (%)0.7%
Missing22856
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean0.97882816
Minimum0
Maximum1
Zeros58
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.304502image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9692
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.049317982
Coefficient of variation (CV)0.050384719
Kurtosis357.38704
Mean0.97882816
Median Absolute Deviation (MAD)0.005
Skewness-18.522953
Sum25339.903
Variance0.0024322634
MonotonicityNot monotonic
2024-09-01T13:14:59.349335image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.9866 747
 
1.5%
0.9871 701
 
1.4%
0.9846 694
 
1.4%
0.9806 681
 
1.4%
0.9856 677
 
1.4%
0.9861 670
 
1.4%
0.9851 667
 
1.4%
0.9776 666
 
1.4%
0.9801 665
 
1.4%
0.9841 664
 
1.4%
Other values (165) 19056
39.1%
(Missing) 22856
46.9%
ValueCountFrequency (%)
0 58
0.1%
0.1937 1
 
< 0.1%
0.1982 1
 
< 0.1%
0.1987 1
 
< 0.1%
0.4704 1
 
< 0.1%
0.4863 1
 
< 0.1%
0.4878 2
 
< 0.1%
0.4893 1
 
< 0.1%
0.4903 1
 
< 0.1%
0.4908 1
 
< 0.1%
ValueCountFrequency (%)
1 10
 
< 0.1%
0.9995 93
0.2%
0.999 173
0.4%
0.9985 179
0.4%
0.998 194
0.4%
0.9975 200
0.4%
0.997 171
0.4%
0.9965 177
0.4%
0.996 151
0.3%
0.9955 155
0.3%

YEARS_BUILD_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)0.8%
Missing31818
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean0.75113709
Minimum0
Maximum1
Zeros18
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.393842image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5988
Q10.6872
median0.7552
Q30.8164
95-th percentile0.9524
Maximum1
Range1
Interquartile range (IQR)0.1292

Descriptive statistics

Standard deviation0.11318841
Coefficient of variation (CV)0.15068941
Kurtosis4.2523688
Mean0.75113709
Median Absolute Deviation (MAD)0.068
Skewness-0.88419848
Sum12713.746
Variance0.012811616
MonotonicityNot monotonic
2024-09-01T13:14:59.438774image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.8232 507
 
1.0%
0.8164 497
 
1.0%
0.8096 457
 
0.9%
0.7348 452
 
0.9%
0.796 452
 
0.9%
0.7416 448
 
0.9%
0.7212 448
 
0.9%
0.7892 448
 
0.9%
0.7824 446
 
0.9%
0.8028 445
 
0.9%
Other values (120) 12326
 
25.3%
(Missing) 31818
65.3%
ValueCountFrequency (%)
0 18
< 0.1%
0.0004 1
 
< 0.1%
0.0072 1
 
< 0.1%
0.0548 1
 
< 0.1%
0.0684 2
 
< 0.1%
0.082 1
 
< 0.1%
0.0956 1
 
< 0.1%
0.1024 1
 
< 0.1%
0.1092 1
 
< 0.1%
0.116 1
 
< 0.1%
ValueCountFrequency (%)
1 8
 
< 0.1%
0.9932 73
0.1%
0.9864 115
0.2%
0.9796 132
0.3%
0.9728 136
0.3%
0.966 142
0.3%
0.9592 134
0.3%
0.9524 131
0.3%
0.9456 122
0.3%
0.9388 105
0.2%

COMMONAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2042
Distinct (%)13.4%
Missing33495
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean0.047623661
Minimum0
Maximum1
Zeros1373
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.482254image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0081
median0.0227
Q30.0539
95-th percentile0.1737
Maximum1
Range1
Interquartile range (IQR)0.0458

Descriptive statistics

Standard deviation0.082868385
Coefficient of variation (CV)1.7400675
Kurtosis44.846559
Mean0.047623661
Median Absolute Deviation (MAD)0.0183
Skewness5.526266
Sum726.2132
Variance0.0068671692
MonotonicityNot monotonic
2024-09-01T13:14:59.525958image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1373
 
2.8%
0.0079 89
 
0.2%
0.0078 84
 
0.2%
0.0077 73
 
0.1%
0.008 69
 
0.1%
0.0086 64
 
0.1%
0.0125 56
 
0.1%
0.007 56
 
0.1%
0.0014 55
 
0.1%
0.0088 52
 
0.1%
Other values (2032) 13278
 
27.2%
(Missing) 33495
68.7%
ValueCountFrequency (%)
0 1373
2.8%
0.0001 13
 
< 0.1%
0.0002 10
 
< 0.1%
0.0003 7
 
< 0.1%
0.0004 8
 
< 0.1%
0.0005 15
 
< 0.1%
0.0006 25
 
0.1%
0.0007 27
 
0.1%
0.0008 26
 
0.1%
0.0009 25
 
0.1%
ValueCountFrequency (%)
1 20
< 0.1%
0.9613 1
 
< 0.1%
0.9552 1
 
< 0.1%
0.9339 1
 
< 0.1%
0.9277 1
 
< 0.1%
0.8882 1
 
< 0.1%
0.8876 2
 
< 0.1%
0.8808 1
 
< 0.1%
0.8738 2
 
< 0.1%
0.87 1
 
< 0.1%

ELEVATORS_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct181
Distinct (%)0.8%
Missing25189
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean0.085168295
Minimum0
Maximum1
Zeros13467
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.568558image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.16
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.13916434
Coefficient of variation (CV)1.6339923
Kurtosis7.042289
Mean0.085168295
Median Absolute Deviation (MAD)0
Skewness2.3202669
Sum2006.1392
Variance0.019366713
MonotonicityNot monotonic
2024-09-01T13:14:59.613211image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13467
27.6%
0.08 1682
 
3.5%
0.16 1586
 
3.3%
0.24 1067
 
2.2%
0.12 922
 
1.9%
0.04 759
 
1.6%
0.2 698
 
1.4%
0.32 475
 
1.0%
0.28 398
 
0.8%
0.4 314
 
0.6%
Other values (171) 2187
 
4.5%
(Missing) 25189
51.7%
ValueCountFrequency (%)
0 13467
27.6%
0.0044 1
 
< 0.1%
0.0048 2
 
< 0.1%
0.0064 7
 
< 0.1%
0.008 3
 
< 0.1%
0.01 7
 
< 0.1%
0.0112 4
 
< 0.1%
0.0132 18
 
< 0.1%
0.0144 1
 
< 0.1%
0.0148 3
 
< 0.1%
ValueCountFrequency (%)
1 24
< 0.1%
0.96 17
< 0.1%
0.92 2
 
< 0.1%
0.88 16
< 0.1%
0.84 11
 
< 0.1%
0.8 28
0.1%
0.78 1
 
< 0.1%
0.76 6
 
< 0.1%
0.74 1
 
< 0.1%
0.72 36
0.1%

ENTRANCES_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct200
Distinct (%)0.8%
Missing23579
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.15177724
Minimum0
Maximum1
Zeros38
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.655959image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.0745
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1324

Descriptive statistics

Standard deviation0.10066888
Coefficient of variation (CV)0.6632673
Kurtosis12.503078
Mean0.15177724
Median Absolute Deviation (MAD)0.0689
Skewness2.4897528
Sum3819.4742
Variance0.010134223
MonotonicityNot monotonic
2024-09-01T13:14:59.699748image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1379 5683
 
11.7%
0.069 3659
 
7.5%
0.2069 3243
 
6.7%
0.1034 3132
 
6.4%
0.0345 2398
 
4.9%
0.1724 1541
 
3.2%
0.2759 1318
 
2.7%
0.2414 705
 
1.4%
0.3448 381
 
0.8%
0.3103 356
 
0.7%
Other values (190) 2749
 
5.6%
(Missing) 23579
48.4%
ValueCountFrequency (%)
0 38
 
0.1%
0.0345 2398
4.9%
0.0407 1
 
< 0.1%
0.0414 3
 
< 0.1%
0.0431 6
 
< 0.1%
0.0459 8
 
< 0.1%
0.0483 3
 
< 0.1%
0.0517 106
 
0.2%
0.0534 1
 
< 0.1%
0.0552 7
 
< 0.1%
ValueCountFrequency (%)
1 29
0.1%
0.9655 6
 
< 0.1%
0.931 6
 
< 0.1%
0.8966 7
 
< 0.1%
0.8621 2
 
< 0.1%
0.8276 7
 
< 0.1%
0.7931 7
 
< 0.1%
0.7586 13
< 0.1%
0.7241 11
 
< 0.1%
0.6897 19
< 0.1%

FLOORSMAX_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct252
Distinct (%)1.0%
Missing23321
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean0.23370622
Minimum0
Maximum1
Zeros417
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.741210image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.5417
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.14736093
Coefficient of variation (CV)0.63053918
Kurtosis2.5639382
Mean0.23370622
Median Absolute Deviation (MAD)0.0834
Skewness1.2558613
Sum5941.5132
Variance0.021715243
MonotonicityNot monotonic
2024-09-01T13:14:59.784836image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1667 10118
20.8%
0.3333 5480
 
11.2%
0.0417 2165
 
4.4%
0.375 1421
 
2.9%
0.125 1052
 
2.2%
0.0833 997
 
2.0%
0.4583 468
 
1.0%
0 417
 
0.9%
0.625 320
 
0.7%
0.6667 292
 
0.6%
Other values (242) 2693
 
5.5%
(Missing) 23321
47.8%
ValueCountFrequency (%)
0 417
 
0.9%
0.0083 2
 
< 0.1%
0.01 1
 
< 0.1%
0.0104 2
 
< 0.1%
0.0138 1
 
< 0.1%
0.0208 20
 
< 0.1%
0.0275 1
 
< 0.1%
0.0312 1
 
< 0.1%
0.0363 2
 
< 0.1%
0.0417 2165
4.4%
ValueCountFrequency (%)
1 34
0.1%
0.9583 15
 
< 0.1%
0.9375 1
 
< 0.1%
0.9304 3
 
< 0.1%
0.9167 12
 
< 0.1%
0.8888 1
 
< 0.1%
0.875 45
0.1%
0.8542 1
 
< 0.1%
0.8333 7
 
< 0.1%
0.8125 1
 
< 0.1%

FLOORSMIN_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct198
Distinct (%)1.2%
Missing32466
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean0.23842309
Minimum0
Maximum1
Zeros391
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.827717image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1042
median0.2083
Q30.375
95-th percentile0.5417
Maximum1
Range1
Interquartile range (IQR)0.2708

Descriptive statistics

Standard deviation0.16497617
Coefficient of variation (CV)0.69194714
Kurtosis1.2660348
Mean0.23842309
Median Absolute Deviation (MAD)0.1666
Skewness0.93205216
Sum3881.051
Variance0.027217138
MonotonicityNot monotonic
2024-09-01T13:14:59.870781image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.2083 5337
 
10.9%
0.375 3068
 
6.3%
0.0417 2852
 
5.9%
0.0833 750
 
1.5%
0.4167 699
 
1.4%
0.125 513
 
1.1%
0.1667 498
 
1.0%
0 391
 
0.8%
0.5 269
 
0.6%
0.7083 198
 
0.4%
Other values (188) 1703
 
3.5%
(Missing) 32466
66.6%
ValueCountFrequency (%)
0 391
 
0.8%
0.0067 1
 
< 0.1%
0.0104 1
 
< 0.1%
0.0158 2
 
< 0.1%
0.0208 6
 
< 0.1%
0.0312 3
 
< 0.1%
0.0333 1
 
< 0.1%
0.0417 2852
5.9%
0.0479 1
 
< 0.1%
0.0521 1
 
< 0.1%
ValueCountFrequency (%)
1 25
0.1%
0.9583 5
 
< 0.1%
0.9167 24
< 0.1%
0.8888 1
 
< 0.1%
0.875 5
 
< 0.1%
0.8333 4
 
< 0.1%
0.8125 3
 
< 0.1%
0.8054 1
 
< 0.1%
0.7917 13
< 0.1%
0.7775 1
 
< 0.1%

LANDAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2540
Distinct (%)12.4%
Missing28254
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean0.067192094
Minimum0
Maximum1
Zeros2656
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.913190image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.019
median0.0483
Q30.0868
95-th percentile0.1997
Maximum1
Range1
Interquartile range (IQR)0.0678

Descriptive statistics

Standard deviation0.081908979
Coefficient of variation (CV)1.219027
Kurtosis32.476082
Mean0.067192094
Median Absolute Deviation (MAD)0.0325
Skewness4.3075764
Sum1376.766
Variance0.0067090808
MonotonicityNot monotonic
2024-09-01T13:14:59.956773image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2656
 
5.4%
0.0141 37
 
0.1%
0.0114 33
 
0.1%
0.0158 33
 
0.1%
0.0316 32
 
0.1%
0.0221 32
 
0.1%
0.0394 32
 
0.1%
0.0568 32
 
0.1%
0.0947 31
 
0.1%
0.0458 31
 
0.1%
Other values (2530) 17541
36.0%
(Missing) 28254
58.0%
ValueCountFrequency (%)
0 2656
5.4%
0.0001 2
 
< 0.1%
0.0002 2
 
< 0.1%
0.0004 3
 
< 0.1%
0.0006 2
 
< 0.1%
0.0008 2
 
< 0.1%
0.0009 3
 
< 0.1%
0.0011 3
 
< 0.1%
0.0012 6
 
< 0.1%
0.0013 1
 
< 0.1%
ValueCountFrequency (%)
1 20
< 0.1%
0.9777 1
 
< 0.1%
0.913 1
 
< 0.1%
0.8947 1
 
< 0.1%
0.894 3
 
< 0.1%
0.8873 2
 
< 0.1%
0.8698 2
 
< 0.1%
0.8638 2
 
< 0.1%
0.8546 2
 
< 0.1%
0.8338 1
 
< 0.1%

LIVINGAPARTMENTS_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1211
Distinct (%)7.6%
Missing32780
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean0.10588525
Minimum0
Maximum1
Zeros46
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:14:59.999140image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0126
Q10.0504
median0.0756
Q30.1269
95-th percentile0.2866
Maximum1
Range1
Interquartile range (IQR)0.0765

Descriptive statistics

Standard deviation0.098284049
Coefficient of variation (CV)0.92821281
Kurtosis17.482309
Mean0.10588525
Median Absolute Deviation (MAD)0.0328
Skewness3.1935632
Sum1690.3522
Variance0.0096597543
MonotonicityNot monotonic
2024-09-01T13:15:00.043741image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0672 718
 
1.5%
0.0504 678
 
1.4%
0.0756 472
 
1.0%
0.0588 393
 
0.8%
0.121 324
 
0.7%
0.0841 304
 
0.6%
0.0605 255
 
0.5%
0.1009 247
 
0.5%
0.0908 234
 
0.5%
0.0067 219
 
0.4%
Other values (1201) 12120
 
24.9%
(Missing) 32780
67.2%
ValueCountFrequency (%)
0 46
0.1%
0.0008 14
 
< 0.1%
0.0017 27
0.1%
0.0025 19
 
< 0.1%
0.0034 59
0.1%
0.0038 1
 
< 0.1%
0.0042 21
 
< 0.1%
0.005 33
0.1%
0.0059 17
 
< 0.1%
0.0063 1
 
< 0.1%
ValueCountFrequency (%)
1 22
< 0.1%
0.9901 1
 
< 0.1%
0.9641 2
 
< 0.1%
0.9498 1
 
< 0.1%
0.9347 2
 
< 0.1%
0.9153 1
 
< 0.1%
0.8952 1
 
< 0.1%
0.8725 1
 
< 0.1%
0.8456 1
 
< 0.1%
0.8388 1
 
< 0.1%

LIVINGAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3848
Distinct (%)15.3%
Missing23552
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.11228626
Minimum0
Maximum1
Zeros46
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.087496image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0089
Q10.048575
median0.077
Q30.1376
95-th percentile0.3406
Maximum1
Range1
Interquartile range (IQR)0.089025

Descriptive statistics

Standard deviation0.11485981
Coefficient of variation (CV)1.0229195
Kurtosis11.897203
Mean0.11228626
Median Absolute Deviation (MAD)0.0386
Skewness2.8263867
Sum2828.7154
Variance0.013192775
MonotonicityNot monotonic
2024-09-01T13:15:00.130013image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 46
 
0.1%
0.0701 45
 
0.1%
0.07 43
 
0.1%
0.051 41
 
0.1%
0.0633 39
 
0.1%
0.0709 38
 
0.1%
0.0081 38
 
0.1%
0.0624 38
 
0.1%
0.054 38
 
0.1%
0.0508 38
 
0.1%
Other values (3838) 24788
50.9%
(Missing) 23552
48.3%
ValueCountFrequency (%)
0 46
0.1%
0.0001 3
 
< 0.1%
0.0002 1
 
< 0.1%
0.0003 2
 
< 0.1%
0.0004 2
 
< 0.1%
0.0005 1
 
< 0.1%
0.0006 4
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 5
 
< 0.1%
0.0009 6
 
< 0.1%
ValueCountFrequency (%)
1 29
0.1%
0.9963 1
 
< 0.1%
0.9893 1
 
< 0.1%
0.9824 1
 
< 0.1%
0.9756 1
 
< 0.1%
0.9703 2
 
< 0.1%
0.9598 4
 
< 0.1%
0.9523 2
 
< 0.1%
0.9488 1
 
< 0.1%
0.9471 1
 
< 0.1%

NONLIVINGAPARTMENTS_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct241
Distinct (%)1.6%
Missing33347
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.0092314802
Minimum0
Maximum1
Zeros8815
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.173434image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0051
95-th percentile0.0309
Maximum1
Range1
Interquartile range (IQR)0.0051

Descriptive statistics

Standard deviation0.048749134
Coefficient of variation (CV)5.2807494
Kurtosis241.30983
Mean0.0092314802
Median Absolute Deviation (MAD)0
Skewness14.303259
Sum142.1371
Variance0.002376478
MonotonicityNot monotonic
2024-09-01T13:15:00.217823image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 8815
 
18.1%
0.0039 2234
 
4.6%
0.0077 1020
 
2.1%
0.0116 582
 
1.2%
0.0154 478
 
1.0%
0.0193 261
 
0.5%
0.0232 215
 
0.4%
0.0019 196
 
0.4%
0.027 140
 
0.3%
0.0309 134
 
0.3%
Other values (231) 1322
 
2.7%
(Missing) 33347
68.4%
ValueCountFrequency (%)
0 8815
18.1%
0.0004 3
 
< 0.1%
0.0005 3
 
< 0.1%
0.0006 5
 
< 0.1%
0.0007 1
 
< 0.1%
0.0008 11
 
< 0.1%
0.001 34
 
0.1%
0.0012 1
 
< 0.1%
0.0013 77
 
0.2%
0.0015 13
 
< 0.1%
ValueCountFrequency (%)
1 14
< 0.1%
0.9344 1
 
< 0.1%
0.8803 1
 
< 0.1%
0.8687 1
 
< 0.1%
0.8571 1
 
< 0.1%
0.8224 1
 
< 0.1%
0.7876 1
 
< 0.1%
0.749 1
 
< 0.1%
0.7413 1
 
< 0.1%
0.7066 1
 
< 0.1%

NONLIVINGAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2026
Distinct (%)8.9%
Missing26084
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean0.02938729
Minimum0
Maximum1
Zeros9469
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.262951image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0038
Q30.029
95-th percentile0.1323
Maximum1
Range1
Interquartile range (IQR)0.029

Descriptive statistics

Standard deviation0.072007473
Coefficient of variation (CV)2.450293
Kurtosis63.033451
Mean0.02938729
Median Absolute Deviation (MAD)0.0038
Skewness6.5177182
Sum665.916
Variance0.0051850762
MonotonicityNot monotonic
2024-09-01T13:15:00.307645image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9469
 
19.4%
0.0012 102
 
0.2%
0.0052 75
 
0.2%
0.0024 75
 
0.2%
0.001 72
 
0.1%
0.0044 71
 
0.1%
0.0031 71
 
0.1%
0.0022 70
 
0.1%
0.0036 69
 
0.1%
0.0013 69
 
0.1%
Other values (2016) 12517
25.7%
(Missing) 26084
53.5%
ValueCountFrequency (%)
0 9469
19.4%
0.0001 25
 
0.1%
0.0002 20
 
< 0.1%
0.0003 22
 
< 0.1%
0.0004 24
 
< 0.1%
0.0005 33
 
0.1%
0.0006 50
 
0.1%
0.0007 41
 
0.1%
0.0008 27
 
0.1%
0.0009 47
 
0.1%
ValueCountFrequency (%)
1 26
0.1%
0.9813 1
 
< 0.1%
0.9295 1
 
< 0.1%
0.9099 1
 
< 0.1%
0.9043 2
 
< 0.1%
0.8826 1
 
< 0.1%
0.8651 1
 
< 0.1%
0.8431 1
 
< 0.1%
0.8377 1
 
< 0.1%
0.8294 1
 
< 0.1%

APARTMENTS_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct636
Distinct (%)2.6%
Missing23887
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean0.11907801
Minimum0
Maximum1
Zeros148
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.351273image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0084
Q10.0588
median0.0851
Q30.1502
95-th percentile0.3372
Maximum1
Range1
Interquartile range (IQR)0.0914

Descriptive statistics

Standard deviation0.11346468
Coefficient of variation (CV)0.95286006
Kurtosis12.424717
Mean0.11907801
Median Absolute Deviation (MAD)0.0431
Skewness2.8140841
Sum2959.922
Variance0.012874233
MonotonicityNot monotonic
2024-09-01T13:15:00.395348image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.084 1230
 
2.5%
0.063 1212
 
2.5%
0.0945 821
 
1.7%
0.0735 680
 
1.4%
0.0084 549
 
1.1%
0.1513 541
 
1.1%
0.105 488
 
1.0%
0.0756 488
 
1.0%
0.0126 480
 
1.0%
0.0168 456
 
0.9%
Other values (626) 17912
36.7%
(Missing) 23887
49.0%
ValueCountFrequency (%)
0 148
 
0.3%
0.0011 42
 
0.1%
0.0021 142
 
0.3%
0.0032 61
 
0.1%
0.0042 172
 
0.4%
0.0053 41
 
0.1%
0.0063 72
 
0.1%
0.0074 39
 
0.1%
0.0084 549
1.1%
0.0095 54
 
0.1%
ValueCountFrequency (%)
1 35
0.1%
0.9884 1
 
< 0.1%
0.9842 1
 
< 0.1%
0.9758 2
 
< 0.1%
0.9737 2
 
< 0.1%
0.9485 2
 
< 0.1%
0.938 1
 
< 0.1%
0.9191 1
 
< 0.1%
0.9181 1
 
< 0.1%
0.917 1
 
< 0.1%

BASEMENTAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2835
Distinct (%)13.4%
Missing27641
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean0.088998071
Minimum0
Maximum1
Zeros2558
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.438444image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0425
median0.077
Q30.11355
95-th percentile0.23109
Maximum1
Range1
Interquartile range (IQR)0.07105

Descriptive statistics

Standard deviation0.082654954
Coefficient of variation (CV)0.92872748
Kurtosis22.011951
Mean0.088998071
Median Absolute Deviation (MAD)0.0355
Skewness3.2497794
Sum1878.1263
Variance0.0068318415
MonotonicityNot monotonic
2024-09-01T13:15:00.480895image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2558
 
5.2%
0.1132 56
 
0.1%
0.0755 48
 
0.1%
0.0834 42
 
0.1%
0.0566 41
 
0.1%
0.0849 39
 
0.1%
0.0792 37
 
0.1%
0.066 37
 
0.1%
0.0825 37
 
0.1%
0.1057 35
 
0.1%
Other values (2825) 18173
37.3%
(Missing) 27641
56.7%
ValueCountFrequency (%)
0 2558
5.2%
0.0001 15
 
< 0.1%
0.0002 4
 
< 0.1%
0.0003 4
 
< 0.1%
0.0004 6
 
< 0.1%
0.0005 4
 
< 0.1%
0.0006 6
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 5
 
< 0.1%
0.0009 7
 
< 0.1%
ValueCountFrequency (%)
1 19
< 0.1%
0.9515 1
 
< 0.1%
0.8557 2
 
< 0.1%
0.8474 1
 
< 0.1%
0.8459 1
 
< 0.1%
0.8457 1
 
< 0.1%
0.8189 1
 
< 0.1%
0.7832 1
 
< 0.1%
0.7801 1
 
< 0.1%
0.7568 1
 
< 0.1%

YEARS_BEGINEXPLUATATION_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct160
Distinct (%)0.6%
Missing22856
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean0.97829235
Minimum0
Maximum1
Zeros76
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.523486image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9687
Q10.9762
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0104

Descriptive statistics

Standard deviation0.05378245
Coefficient of variation (CV)0.054975847
Kurtosis318.47807
Mean0.97829235
Median Absolute Deviation (MAD)0.005
Skewness-17.67068
Sum25326.032
Variance0.0028925519
MonotonicityNot monotonic
2024-09-01T13:15:00.569667image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.9866 729
 
1.5%
0.9871 720
 
1.5%
0.9777 691
 
1.4%
0.9846 687
 
1.4%
0.9791 675
 
1.4%
0.9861 675
 
1.4%
0.9801 669
 
1.4%
0.9856 667
 
1.4%
0.9786 659
 
1.4%
0.9796 644
 
1.3%
Other values (150) 19072
39.1%
(Missing) 22856
46.9%
ValueCountFrequency (%)
0 76
0.2%
0.8923 1
 
< 0.1%
0.8962 1
 
< 0.1%
0.8997 1
 
< 0.1%
0.9101 1
 
< 0.1%
0.9106 1
 
< 0.1%
0.9121 1
 
< 0.1%
0.9131 1
 
< 0.1%
0.9146 2
 
< 0.1%
0.9166 1
 
< 0.1%
ValueCountFrequency (%)
1 11
 
< 0.1%
0.9995 97
0.2%
0.999 172
0.4%
0.9985 178
0.4%
0.998 184
0.4%
0.9975 197
0.4%
0.997 184
0.4%
0.9965 191
0.4%
0.996 156
0.3%
0.9955 155
0.3%

YEARS_BUILD_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct132
Distinct (%)0.8%
Missing31818
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean0.75832715
Minimum0
Maximum1
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.614972image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.608
Q10.6929
median0.7583
Q30.8236
95-th percentile0.9543
Maximum1
Range1
Interquartile range (IQR)0.1307

Descriptive statistics

Standard deviation0.11011699
Coefficient of variation (CV)0.1452104
Kurtosis4.6900925
Mean0.75832715
Median Absolute Deviation (MAD)0.0653
Skewness-0.93370658
Sum12835.445
Variance0.012125752
MonotonicityNot monotonic
2024-09-01T13:15:00.659905image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.8301 518
 
1.1%
0.8236 483
 
1.0%
0.7975 465
 
1.0%
0.706 464
 
1.0%
0.8171 463
 
0.9%
0.7321 460
 
0.9%
0.719 448
 
0.9%
0.7517 440
 
0.9%
0.7256 437
 
0.9%
0.7452 433
 
0.9%
Other values (122) 12315
 
25.3%
(Missing) 31818
65.3%
ValueCountFrequency (%)
0 17
< 0.1%
0.0134 2
 
< 0.1%
0.0199 1
 
< 0.1%
0.0461 1
 
< 0.1%
0.0657 1
 
< 0.1%
0.0918 1
 
< 0.1%
0.1049 3
 
< 0.1%
0.1114 1
 
< 0.1%
0.1179 1
 
< 0.1%
0.131 1
 
< 0.1%
ValueCountFrequency (%)
1 9
 
< 0.1%
0.9935 77
0.2%
0.9869 112
0.2%
0.9804 132
0.3%
0.9739 131
0.3%
0.9673 134
0.3%
0.9608 138
0.3%
0.9543 140
0.3%
0.9477 115
0.2%
0.9412 110
0.2%

COMMONAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2001
Distinct (%)13.1%
Missing33495
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean0.045223038
Minimum0
Maximum1
Zeros1604
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.703704image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0076
median0.0203
Q30.0517
95-th percentile0.16352
Maximum1
Range1
Interquartile range (IQR)0.0441

Descriptive statistics

Standard deviation0.081168604
Coefficient of variation (CV)1.7948508
Kurtosis48.25878
Mean0.045223038
Median Absolute Deviation (MAD)0.0174
Skewness5.7391792
Sum689.6061
Variance0.0065883422
MonotonicityNot monotonic
2024-09-01T13:15:00.747104image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1604
 
3.3%
0.008 87
 
0.2%
0.0079 86
 
0.2%
0.0078 81
 
0.2%
0.0087 70
 
0.1%
0.0014 67
 
0.1%
0.0081 65
 
0.1%
0.0089 62
 
0.1%
0.0071 61
 
0.1%
0.0088 59
 
0.1%
Other values (1991) 13007
 
26.7%
(Missing) 33495
68.7%
ValueCountFrequency (%)
0 1604
3.3%
0.0001 12
 
< 0.1%
0.0002 12
 
< 0.1%
0.0003 8
 
< 0.1%
0.0004 8
 
< 0.1%
0.0005 13
 
< 0.1%
0.0006 26
 
0.1%
0.0007 24
 
< 0.1%
0.0008 28
 
0.1%
0.0009 22
 
< 0.1%
ValueCountFrequency (%)
1 19
< 0.1%
0.9701 1
 
< 0.1%
0.9639 1
 
< 0.1%
0.9424 1
 
< 0.1%
0.9362 1
 
< 0.1%
0.8963 1
 
< 0.1%
0.8957 2
 
< 0.1%
0.8889 1
 
< 0.1%
0.8818 2
 
< 0.1%
0.8779 1
 
< 0.1%

ELEVATORS_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct26
Distinct (%)0.1%
Missing25189
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean0.080569938
Minimum0
Maximum1
Zeros14170
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.790770image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1208
95-th percentile0.3625
Maximum1
Range1
Interquartile range (IQR)0.1208

Descriptive statistics

Standard deviation0.13750937
Coefficient of variation (CV)1.7067082
Kurtosis7.712062
Mean0.080569938
Median Absolute Deviation (MAD)0
Skewness2.4323153
Sum1897.8249
Variance0.018908828
MonotonicityNot monotonic
2024-09-01T13:15:00.836502image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 14170
29.1%
0.0806 1953
 
4.0%
0.1611 1751
 
3.6%
0.2417 1118
 
2.3%
0.1208 954
 
2.0%
0.0403 795
 
1.6%
0.2014 670
 
1.4%
0.3222 503
 
1.0%
0.282 369
 
0.8%
0.4028 322
 
0.7%
Other values (16) 950
 
1.9%
(Missing) 25189
51.7%
ValueCountFrequency (%)
0 14170
29.1%
0.0403 795
 
1.6%
0.0806 1953
 
4.0%
0.1208 954
 
2.0%
0.1611 1751
 
3.6%
0.2014 670
 
1.4%
0.2417 1118
 
2.3%
0.282 369
 
0.8%
0.3222 503
 
1.0%
0.3625 227
 
0.5%
ValueCountFrequency (%)
1 24
 
< 0.1%
0.9667 17
 
< 0.1%
0.9264 2
 
< 0.1%
0.8862 15
 
< 0.1%
0.8459 9
 
< 0.1%
0.8056 28
 
0.1%
0.7653 8
 
< 0.1%
0.725 35
0.1%
0.6848 16
 
< 0.1%
0.6445 77
0.2%

ENTRANCES_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)0.1%
Missing23579
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.14716064
Minimum0
Maximum1
Zeros54
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.880451image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1017476
Coefficient of variation (CV)0.69140497
Kurtosis12.286329
Mean0.14716064
Median Absolute Deviation (MAD)0.0689
Skewness2.4769236
Sum3703.2975
Variance0.010352574
MonotonicityNot monotonic
2024-09-01T13:15:00.923482image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1379 6027
 
12.4%
0.069 4285
 
8.8%
0.2069 3372
 
6.9%
0.1034 3357
 
6.9%
0.0345 3050
 
6.3%
0.1724 1496
 
3.1%
0.2759 1346
 
2.8%
0.2414 692
 
1.4%
0.3448 374
 
0.8%
0.3103 344
 
0.7%
Other values (20) 822
 
1.7%
(Missing) 23579
48.4%
ValueCountFrequency (%)
0 54
 
0.1%
0.0345 3050
6.3%
0.069 4285
8.8%
0.1034 3357
6.9%
0.1379 6027
12.4%
0.1724 1496
 
3.1%
0.2069 3372
6.9%
0.2414 692
 
1.4%
0.2759 1346
 
2.8%
0.3103 344
 
0.7%
ValueCountFrequency (%)
1 29
0.1%
0.9655 6
 
< 0.1%
0.931 6
 
< 0.1%
0.8966 7
 
< 0.1%
0.8621 2
 
< 0.1%
0.8276 7
 
< 0.1%
0.7931 7
 
< 0.1%
0.7586 13
< 0.1%
0.7241 11
 
< 0.1%
0.6897 19
< 0.1%

FLOORSMAX_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct25
Distinct (%)0.1%
Missing23321
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean0.2293901
Minimum0
Maximum1
Zeros511
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:00.965257image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.14648493
Coefficient of variation (CV)0.63858433
Kurtosis2.6469595
Mean0.2293901
Median Absolute Deviation (MAD)0.0834
Skewness1.2691966
Sum5831.7846
Variance0.021457833
MonotonicityNot monotonic
2024-09-01T13:15:01.009852image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1667 10774
22.1%
0.3333 5937
 
12.2%
0.0417 2316
 
4.8%
0.375 1474
 
3.0%
0.125 1107
 
2.3%
0.0833 1041
 
2.1%
0.4583 513
 
1.1%
0 511
 
1.0%
0.625 343
 
0.7%
0.6667 335
 
0.7%
Other values (15) 1072
 
2.2%
(Missing) 23321
47.8%
ValueCountFrequency (%)
0 511
 
1.0%
0.0417 2316
 
4.8%
0.0833 1041
 
2.1%
0.125 1107
 
2.3%
0.1667 10774
22.1%
0.2083 233
 
0.5%
0.25 102
 
0.2%
0.2917 73
 
0.1%
0.3333 5937
12.2%
0.375 1474
 
3.0%
ValueCountFrequency (%)
1 35
 
0.1%
0.9583 16
 
< 0.1%
0.9167 14
 
< 0.1%
0.875 43
 
0.1%
0.8333 3
 
< 0.1%
0.7917 12
 
< 0.1%
0.75 20
 
< 0.1%
0.7083 52
 
0.1%
0.6667 335
0.7%
0.625 343
0.7%

FLOORSMIN_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct25
Distinct (%)0.2%
Missing32466
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean0.23385399
Minimum0
Maximum1
Zeros431
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.052214image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.16503367
Coefficient of variation (CV)0.70571243
Kurtosis1.2378768
Mean0.23385399
Median Absolute Deviation (MAD)0.1666
Skewness0.93884711
Sum3806.6752
Variance0.027236111
MonotonicityNot monotonic
2024-09-01T13:15:01.096344image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.2083 5605
 
11.5%
0.375 3270
 
6.7%
0.0417 3078
 
6.3%
0.0833 788
 
1.6%
0.4167 722
 
1.5%
0.1667 510
 
1.0%
0.125 504
 
1.0%
0 431
 
0.9%
0.5 296
 
0.6%
0.7083 226
 
0.5%
Other values (15) 848
 
1.7%
(Missing) 32466
66.6%
ValueCountFrequency (%)
0 431
 
0.9%
0.0417 3078
6.3%
0.0833 788
 
1.6%
0.125 504
 
1.0%
0.1667 510
 
1.0%
0.2083 5605
11.5%
0.25 128
 
0.3%
0.2917 74
 
0.2%
0.3333 49
 
0.1%
0.375 3270
6.7%
ValueCountFrequency (%)
1 24
 
< 0.1%
0.9583 5
 
< 0.1%
0.9167 22
 
< 0.1%
0.875 2
 
< 0.1%
0.8333 4
 
< 0.1%
0.7917 17
 
< 0.1%
0.75 23
 
< 0.1%
0.7083 226
0.5%
0.6667 206
0.4%
0.625 38
 
0.1%

LANDAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2560
Distinct (%)12.5%
Missing28254
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean0.065914109
Minimum0
Maximum1
Zeros2971
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.139556image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.016525
median0.0462
Q30.0856
95-th percentile0.20181
Maximum1
Range1
Interquartile range (IQR)0.069075

Descriptive statistics

Standard deviation0.082879597
Coefficient of variation (CV)1.2573878
Kurtosis30.735694
Mean0.065914109
Median Absolute Deviation (MAD)0.0326
Skewness4.2107014
Sum1350.5801
Variance0.0068690276
MonotonicityNot monotonic
2024-09-01T13:15:01.183484image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2971
 
6.1%
0.0194 42
 
0.1%
0.0968 34
 
0.1%
0.0248 33
 
0.1%
0.0339 33
 
0.1%
0.0497 33
 
0.1%
0.0144 33
 
0.1%
0.0081 32
 
0.1%
0.0165 32
 
0.1%
0.0323 32
 
0.1%
Other values (2550) 17215
35.3%
(Missing) 28254
58.0%
ValueCountFrequency (%)
0 2971
6.1%
0.0001 3
 
< 0.1%
0.0002 2
 
< 0.1%
0.0004 2
 
< 0.1%
0.0006 3
 
< 0.1%
0.0008 3
 
< 0.1%
0.0009 2
 
< 0.1%
0.001 3
 
< 0.1%
0.0011 2
 
< 0.1%
0.0012 4
 
< 0.1%
ValueCountFrequency (%)
1 18
< 0.1%
0.9338 1
 
< 0.1%
0.9152 1
 
< 0.1%
0.9144 3
 
< 0.1%
0.9076 2
 
< 0.1%
0.8896 2
 
< 0.1%
0.8835 2
 
< 0.1%
0.8741 2
 
< 0.1%
0.8528 1
 
< 0.1%
0.8277 1
 
< 0.1%

LIVINGAPARTMENTS_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct602
Distinct (%)3.8%
Missing32780
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean0.11087423
Minimum0
Maximum1
Zeros66
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.226429image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.011
Q10.0551
median0.0817
Q30.1322
95-th percentile0.306565
Maximum1
Range1
Interquartile range (IQR)0.0771

Descriptive statistics

Standard deviation0.10398024
Coefficient of variation (CV)0.93782149
Kurtosis15.139346
Mean0.11087423
Median Absolute Deviation (MAD)0.0358
Skewness3.0400798
Sum1769.9962
Variance0.010811889
MonotonicityNot monotonic
2024-09-01T13:15:01.270846image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0735 811
 
1.7%
0.0551 803
 
1.6%
0.0826 501
 
1.0%
0.0643 417
 
0.9%
0.1322 365
 
0.7%
0.0918 353
 
0.7%
0.0661 335
 
0.7%
0.0992 271
 
0.6%
0.1102 251
 
0.5%
0.0073 245
 
0.5%
Other values (592) 11612
 
23.8%
(Missing) 32780
67.2%
ValueCountFrequency (%)
0 66
 
0.1%
0.0009 21
 
< 0.1%
0.0018 36
 
0.1%
0.0028 24
 
< 0.1%
0.0037 64
 
0.1%
0.0046 19
 
< 0.1%
0.0055 33
 
0.1%
0.0064 20
 
< 0.1%
0.0073 245
0.5%
0.0083 23
 
< 0.1%
ValueCountFrequency (%)
1 25
0.1%
0.978 1
 
< 0.1%
0.9532 1
 
< 0.1%
0.9238 1
 
< 0.1%
0.9164 1
 
< 0.1%
0.9155 1
 
< 0.1%
0.8972 1
 
< 0.1%
0.8641 1
 
< 0.1%
0.8503 1
 
< 0.1%
0.8485 1
 
< 0.1%

LIVINGAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3842
Distinct (%)15.3%
Missing23552
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.11068678
Minimum0
Maximum1
Zeros69
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.315399image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0083
Q10.0456
median0.0751
Q30.1306
95-th percentile0.340745
Maximum1
Range1
Interquartile range (IQR)0.085

Descriptive statistics

Standard deviation0.11669879
Coefficient of variation (CV)1.0543155
Kurtosis12.189077
Mean0.11068678
Median Absolute Deviation (MAD)0.0395
Skewness2.8941448
Sum2788.4214
Variance0.013618607
MonotonicityNot monotonic
2024-09-01T13:15:01.358730image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 69
 
0.1%
0.073 45
 
0.1%
0.053 45
 
0.1%
0.0531 44
 
0.1%
0.0102 41
 
0.1%
0.0521 41
 
0.1%
0.0529 39
 
0.1%
0.0556 39
 
0.1%
0.0661 38
 
0.1%
0.0561 38
 
0.1%
Other values (3832) 24753
50.8%
(Missing) 23552
48.3%
ValueCountFrequency (%)
0 69
0.1%
0.0001 5
 
< 0.1%
0.0002 1
 
< 0.1%
0.0003 3
 
< 0.1%
0.0004 2
 
< 0.1%
0.0005 1
 
< 0.1%
0.0006 3
 
< 0.1%
0.0007 6
 
< 0.1%
0.0008 7
 
< 0.1%
0.0009 5
 
< 0.1%
ValueCountFrequency (%)
1 36
0.1%
0.9922 2
 
< 0.1%
0.9886 1
 
< 0.1%
0.9868 1
 
< 0.1%
0.9845 1
 
< 0.1%
0.9756 1
 
< 0.1%
0.9667 1
 
< 0.1%
0.9412 3
 
< 0.1%
0.933 2
 
< 0.1%
0.9315 1
 
< 0.1%

NONLIVINGAPARTMENTS_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct106
Distinct (%)0.7%
Missing33347
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.0083575437
Minimum0
Maximum1
Zeros9638
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.400866image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0272
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.046657248
Coefficient of variation (CV)5.5826508
Kurtosis266.61761
Mean0.0083575437
Median Absolute Deviation (MAD)0
Skewness15.058851
Sum128.6811
Variance0.0021768988
MonotonicityNot monotonic
2024-09-01T13:15:01.446925image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9638
 
19.8%
0.0039 2334
 
4.8%
0.0078 1039
 
2.1%
0.0117 572
 
1.2%
0.0156 465
 
1.0%
0.0195 260
 
0.5%
0.0233 215
 
0.4%
0.0311 137
 
0.3%
0.0272 134
 
0.3%
0.035 92
 
0.2%
Other values (96) 511
 
1.0%
(Missing) 33347
68.4%
ValueCountFrequency (%)
0 9638
19.8%
0.0039 2334
 
4.8%
0.0078 1039
 
2.1%
0.0117 572
 
1.2%
0.0156 465
 
1.0%
0.0195 260
 
0.5%
0.0233 215
 
0.4%
0.0272 134
 
0.3%
0.0311 137
 
0.3%
0.035 92
 
0.2%
ValueCountFrequency (%)
1 12
< 0.1%
0.9416 1
 
< 0.1%
0.9339 1
 
< 0.1%
0.8872 1
 
< 0.1%
0.8755 1
 
< 0.1%
0.8638 1
 
< 0.1%
0.8288 1
 
< 0.1%
0.7938 1
 
< 0.1%
0.7549 1
 
< 0.1%
0.7471 1
 
< 0.1%

NONLIVINGAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2025
Distinct (%)8.9%
Missing26084
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean0.028161478
Minimum0
Maximum1
Zeros10922
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.490444image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0012
Q30.0245
95-th percentile0.13421
Maximum1
Range1
Interquartile range (IQR)0.0245

Descriptive statistics

Standard deviation0.073504032
Coefficient of variation (CV)2.6100914
Kurtosis61.468852
Mean0.028161478
Median Absolute Deviation (MAD)0.0012
Skewness6.4996709
Sum638.1391
Variance0.0054028428
MonotonicityNot monotonic
2024-09-01T13:15:01.535983image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 10922
22.4%
0.0011 99
 
0.2%
0.0013 73
 
0.1%
0.0012 70
 
0.1%
0.0026 69
 
0.1%
0.0033 67
 
0.1%
0.0047 64
 
0.1%
0.0038 63
 
0.1%
0.0046 63
 
0.1%
0.0055 63
 
0.1%
Other values (2015) 11107
22.8%
(Missing) 26084
53.5%
ValueCountFrequency (%)
0 10922
22.4%
0.0001 20
 
< 0.1%
0.0002 19
 
< 0.1%
0.0003 6
 
< 0.1%
0.0004 14
 
< 0.1%
0.0005 24
 
< 0.1%
0.0006 42
 
0.1%
0.0007 32
 
0.1%
0.0008 40
 
0.1%
0.0009 24
 
< 0.1%
ValueCountFrequency (%)
1 26
0.1%
0.984 1
 
< 0.1%
0.9633 1
 
< 0.1%
0.9343 1
 
< 0.1%
0.9159 1
 
< 0.1%
0.8925 1
 
< 0.1%
0.8868 1
 
< 0.1%
0.878 1
 
< 0.1%
0.8455 1
 
< 0.1%
0.8363 2
 
< 0.1%

APARTMENTS_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct918
Distinct (%)3.7%
Missing23887
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean0.12280868
Minimum0
Maximum1
Zeros123
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.579675image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0115
Q10.0625
median0.0926
Q30.1499
95-th percentile0.3373
Maximum1
Range1
Interquartile range (IQR)0.0874

Descriptive statistics

Standard deviation0.11418417
Coefficient of variation (CV)0.92977279
Kurtosis11.813834
Mean0.12280868
Median Absolute Deviation (MAD)0.0426
Skewness2.7377328
Sum3052.6553
Variance0.013038024
MonotonicityNot monotonic
2024-09-01T13:15:01.622724image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0833 1169
 
2.4%
0.0625 1090
 
2.2%
0.0937 811
 
1.7%
0.0729 670
 
1.4%
0.1499 523
 
1.1%
0.1041 493
 
1.0%
0.0083 487
 
1.0%
0.0125 444
 
0.9%
0.0167 430
 
0.9%
0.0749 402
 
0.8%
Other values (908) 18338
37.6%
(Missing) 23887
49.0%
ValueCountFrequency (%)
0 123
0.3%
0.001 29
 
0.1%
0.0016 2
 
< 0.1%
0.0021 105
0.2%
0.0026 1
 
< 0.1%
0.0031 54
 
0.1%
0.0036 3
 
< 0.1%
0.0042 146
0.3%
0.0047 4
 
< 0.1%
0.0052 29
 
0.1%
ValueCountFrequency (%)
1 35
0.1%
0.9795 1
 
< 0.1%
0.9753 1
 
< 0.1%
0.967 2
 
< 0.1%
0.9654 1
 
< 0.1%
0.9649 2
 
< 0.1%
0.9399 2
 
< 0.1%
0.9295 1
 
< 0.1%
0.9108 1
 
< 0.1%
0.9098 1
 
< 0.1%

BASEMENTAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2805
Distinct (%)13.3%
Missing27641
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean0.0895291
Minimum0
Maximum1
Zeros2279
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.665149image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04615
median0.0778
Q30.113
95-th percentile0.22548
Maximum1
Range1
Interquartile range (IQR)0.06685

Descriptive statistics

Standard deviation0.08102219
Coefficient of variation (CV)0.90498162
Kurtosis24.484487
Mean0.0895291
Median Absolute Deviation (MAD)0.0333
Skewness3.410186
Sum1889.3326
Variance0.0065645953
MonotonicityNot monotonic
2024-09-01T13:15:01.708655image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2279
 
4.7%
0.1091 60
 
0.1%
0.0545 47
 
0.1%
0.0727 47
 
0.1%
0.0818 46
 
0.1%
0.0655 44
 
0.1%
0.0804 44
 
0.1%
0.0803 42
 
0.1%
0.0795 41
 
0.1%
0.0785 40
 
0.1%
Other values (2795) 18413
37.8%
(Missing) 27641
56.7%
ValueCountFrequency (%)
0 2279
4.7%
0.0001 16
 
< 0.1%
0.0002 3
 
< 0.1%
0.0003 3
 
< 0.1%
0.0004 7
 
< 0.1%
0.0005 8
 
< 0.1%
0.0006 1
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 7
 
< 0.1%
0.0009 7
 
< 0.1%
ValueCountFrequency (%)
1 21
< 0.1%
0.9636 1
 
< 0.1%
0.9169 1
 
< 0.1%
0.8246 2
 
< 0.1%
0.8165 1
 
< 0.1%
0.8152 1
 
< 0.1%
0.815 1
 
< 0.1%
0.7891 1
 
< 0.1%
0.7547 1
 
< 0.1%
0.7517 1
 
< 0.1%

YEARS_BEGINEXPLUATATION_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct169
Distinct (%)0.7%
Missing22856
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean0.97882204
Minimum0
Maximum1
Zeros61
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.750066image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9692
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.049662865
Coefficient of variation (CV)0.050737379
Kurtosis357.74207
Mean0.97882204
Median Absolute Deviation (MAD)0.005
Skewness-18.558535
Sum25339.745
Variance0.0024664001
MonotonicityNot monotonic
2024-09-01T13:15:01.794710image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.9866 733
 
1.5%
0.9871 714
 
1.5%
0.9846 696
 
1.4%
0.9856 685
 
1.4%
0.9776 675
 
1.4%
0.9791 671
 
1.4%
0.9861 671
 
1.4%
0.9851 661
 
1.4%
0.9806 660
 
1.4%
0.9801 658
 
1.3%
Other values (159) 19064
39.1%
(Missing) 22856
46.9%
ValueCountFrequency (%)
0 61
0.1%
0.4704 1
 
< 0.1%
0.4863 1
 
< 0.1%
0.4878 2
 
< 0.1%
0.4893 1
 
< 0.1%
0.4903 1
 
< 0.1%
0.4908 1
 
< 0.1%
0.4913 1
 
< 0.1%
0.4918 1
 
< 0.1%
0.4933 2
 
< 0.1%
ValueCountFrequency (%)
1 11
 
< 0.1%
0.9995 98
0.2%
0.999 176
0.4%
0.9985 183
0.4%
0.998 191
0.4%
0.9975 204
0.4%
0.997 181
0.4%
0.9965 188
0.4%
0.996 152
0.3%
0.9955 161
0.3%

YEARS_BUILD_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct129
Distinct (%)0.8%
Missing31818
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean0.75434362
Minimum0
Maximum1
Zeros19
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.838915image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6042
Q10.6914
median0.7585
Q30.8189
95-th percentile0.953
Maximum1
Range1
Interquartile range (IQR)0.1275

Descriptive statistics

Standard deviation0.11199768
Coefficient of variation (CV)0.14847037
Kurtosis4.3580145
Mean0.75434362
Median Absolute Deviation (MAD)0.0671
Skewness-0.89192699
Sum12768.02
Variance0.012543479
MonotonicityNot monotonic
2024-09-01T13:15:01.893061image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.8256 516
 
1.1%
0.8189 487
 
1.0%
0.8121 465
 
1.0%
0.7249 459
 
0.9%
0.792 456
 
0.9%
0.7451 445
 
0.9%
0.7987 443
 
0.9%
0.6981 443
 
0.9%
0.8054 442
 
0.9%
0.7786 442
 
0.9%
Other values (119) 12328
 
25.3%
(Missing) 31818
65.3%
ValueCountFrequency (%)
0 19
< 0.1%
0.0205 1
 
< 0.1%
0.0674 1
 
< 0.1%
0.0809 2
 
< 0.1%
0.0943 1
 
< 0.1%
0.1077 1
 
< 0.1%
0.1144 1
 
< 0.1%
0.1211 1
 
< 0.1%
0.1278 1
 
< 0.1%
0.1547 1
 
< 0.1%
ValueCountFrequency (%)
1 9
 
< 0.1%
0.9933 76
0.2%
0.9866 114
0.2%
0.9799 136
0.3%
0.9732 135
0.3%
0.9665 144
0.3%
0.9597 136
0.3%
0.953 138
0.3%
0.9463 116
0.2%
0.9396 107
0.2%

COMMONAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2034
Distinct (%)13.3%
Missing33495
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean0.047420382
Minimum0
Maximum1
Zeros1425
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:01.942675image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.008
median0.0223
Q30.0538
95-th percentile0.17416
Maximum1
Range1
Interquartile range (IQR)0.0458

Descriptive statistics

Standard deviation0.082892205
Coefficient of variation (CV)1.7480291
Kurtosis44.565785
Mean0.047420382
Median Absolute Deviation (MAD)0.0181
Skewness5.5165341
Sum723.1134
Variance0.0068711176
MonotonicityNot monotonic
2024-09-01T13:15:01.986454image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1425
 
2.9%
0.0079 94
 
0.2%
0.008 85
 
0.2%
0.0078 70
 
0.1%
0.0014 59
 
0.1%
0.0087 58
 
0.1%
0.0077 55
 
0.1%
0.0086 54
 
0.1%
0.0081 53
 
0.1%
0.0126 52
 
0.1%
Other values (2024) 13244
 
27.2%
(Missing) 33495
68.7%
ValueCountFrequency (%)
0 1425
2.9%
0.0001 13
 
< 0.1%
0.0002 12
 
< 0.1%
0.0003 7
 
< 0.1%
0.0004 9
 
< 0.1%
0.0005 14
 
< 0.1%
0.0006 25
 
0.1%
0.0007 24
 
< 0.1%
0.0008 26
 
0.1%
0.0009 24
 
< 0.1%
ValueCountFrequency (%)
1 19
< 0.1%
0.9674 1
 
< 0.1%
0.9613 1
 
< 0.1%
0.9398 1
 
< 0.1%
0.9336 1
 
< 0.1%
0.8938 1
 
< 0.1%
0.8932 2
 
< 0.1%
0.8864 1
 
< 0.1%
0.8794 2
 
< 0.1%
0.8755 1
 
< 0.1%

ELEVATORS_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct43
Distinct (%)0.2%
Missing25189
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean0.084128211
Minimum0
Maximum1
Zeros13738
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:02.032045image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.16
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.13901438
Coefficient of variation (CV)1.6524109
Kurtosis7.1325399
Mean0.084128211
Median Absolute Deviation (MAD)0
Skewness2.338353
Sum1981.64
Variance0.019324997
MonotonicityNot monotonic
2024-09-01T13:15:02.078962image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13738
28.2%
0.08 1844
 
3.8%
0.16 1686
 
3.5%
0.24 1127
 
2.3%
0.12 978
 
2.0%
0.04 782
 
1.6%
0.2 718
 
1.5%
0.32 513
 
1.1%
0.28 398
 
0.8%
0.4 334
 
0.7%
Other values (33) 1437
 
2.9%
(Missing) 25189
51.7%
ValueCountFrequency (%)
0 13738
28.2%
0.02 65
 
0.1%
0.04 782
 
1.6%
0.06 69
 
0.1%
0.08 1844
 
3.8%
0.1 84
 
0.2%
0.12 978
 
2.0%
0.14 64
 
0.1%
0.16 1686
 
3.5%
0.18 61
 
0.1%
ValueCountFrequency (%)
1 24
< 0.1%
0.96 17
< 0.1%
0.92 2
 
< 0.1%
0.88 16
< 0.1%
0.84 11
 
< 0.1%
0.8 28
0.1%
0.78 1
 
< 0.1%
0.76 6
 
< 0.1%
0.74 1
 
< 0.1%
0.72 36
0.1%

ENTRANCES_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct43
Distinct (%)0.2%
Missing23579
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.15120016
Minimum0
Maximum1
Zeros38
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:02.123463image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.10093068
Coefficient of variation (CV)0.66753021
Kurtosis12.411909
Mean0.15120016
Median Absolute Deviation (MAD)0.0689
Skewness2.4809823
Sum3804.9521
Variance0.010187001
MonotonicityNot monotonic
2024-09-01T13:15:02.166861image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1379 5959
 
12.2%
0.069 3869
 
7.9%
0.2069 3372
 
6.9%
0.1034 3312
 
6.8%
0.0345 2515
 
5.2%
0.1724 1616
 
3.3%
0.2759 1345
 
2.8%
0.2414 733
 
1.5%
0.3448 381
 
0.8%
0.3103 362
 
0.7%
Other values (33) 1701
 
3.5%
(Missing) 23579
48.4%
ValueCountFrequency (%)
0 38
 
0.1%
0.0345 2515
5.2%
0.0517 104
 
0.2%
0.069 3869
7.9%
0.0862 208
 
0.4%
0.1034 3312
6.8%
0.1207 226
 
0.5%
0.1379 5959
12.2%
0.1552 148
 
0.3%
0.1724 1616
 
3.3%
ValueCountFrequency (%)
1 29
0.1%
0.9655 6
 
< 0.1%
0.931 6
 
< 0.1%
0.8966 7
 
< 0.1%
0.8621 2
 
< 0.1%
0.8276 7
 
< 0.1%
0.7931 7
 
< 0.1%
0.7586 13
< 0.1%
0.7241 11
 
< 0.1%
0.6897 19
< 0.1%

FLOORSMAX_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct47
Distinct (%)0.2%
Missing23321
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean0.23315364
Minimum0
Maximum1
Zeros425
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:02.209214image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.5417
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.14762901
Coefficient of variation (CV)0.63318339
Kurtosis2.5875297
Mean0.23315364
Median Absolute Deviation (MAD)0.0834
Skewness1.2653564
Sum5927.465
Variance0.021794325
MonotonicityNot monotonic
2024-09-01T13:15:02.252965image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1667 10443
21.4%
0.3333 5753
 
11.8%
0.0417 2203
 
4.5%
0.375 1463
 
3.0%
0.125 1065
 
2.2%
0.0833 1017
 
2.1%
0.4583 502
 
1.0%
0 425
 
0.9%
0.625 336
 
0.7%
0.6667 329
 
0.7%
Other values (37) 1887
 
3.9%
(Missing) 23321
47.8%
ValueCountFrequency (%)
0 425
 
0.9%
0.0208 20
 
< 0.1%
0.0417 2203
 
4.5%
0.0625 30
 
0.1%
0.0833 1017
 
2.1%
0.1042 62
 
0.1%
0.125 1065
 
2.2%
0.1458 58
 
0.1%
0.1667 10443
21.4%
0.1875 50
 
0.1%
ValueCountFrequency (%)
1 36
0.1%
0.9583 17
 
< 0.1%
0.9375 1
 
< 0.1%
0.9167 13
 
< 0.1%
0.875 44
0.1%
0.8542 1
 
< 0.1%
0.8333 6
 
< 0.1%
0.8125 1
 
< 0.1%
0.7917 14
 
< 0.1%
0.7708 4
 
< 0.1%

FLOORSMIN_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct44
Distinct (%)0.3%
Missing32466
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean0.23784589
Minimum0
Maximum1
Zeros397
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:02.294854image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5417
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1652406
Coefficient of variation (CV)0.69473808
Kurtosis1.2276298
Mean0.23784589
Median Absolute Deviation (MAD)0.1666
Skewness0.92818402
Sum3871.6554
Variance0.027304455
MonotonicityNot monotonic
2024-09-01T13:15:02.338365image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.2083 5500
 
11.3%
0.375 3205
 
6.6%
0.0417 2920
 
6.0%
0.0833 755
 
1.5%
0.4167 722
 
1.5%
0.125 527
 
1.1%
0.1667 506
 
1.0%
0 397
 
0.8%
0.5 288
 
0.6%
0.7083 219
 
0.4%
Other values (34) 1239
 
2.5%
(Missing) 32466
66.6%
ValueCountFrequency (%)
0 397
 
0.8%
0.0208 6
 
< 0.1%
0.0417 2920
6.0%
0.0625 7
 
< 0.1%
0.0833 755
 
1.5%
0.1042 24
 
< 0.1%
0.125 527
 
1.1%
0.1458 27
 
0.1%
0.1667 506
 
1.0%
0.1875 18
 
< 0.1%
ValueCountFrequency (%)
1 24
 
< 0.1%
0.9583 5
 
< 0.1%
0.9167 23
 
< 0.1%
0.875 5
 
< 0.1%
0.8333 5
 
< 0.1%
0.8125 3
 
< 0.1%
0.7917 14
 
< 0.1%
0.75 28
 
0.1%
0.7292 1
 
< 0.1%
0.7083 219
0.4%

LANDAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2562
Distinct (%)12.5%
Missing28254
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean0.068069019
Minimum0
Maximum1
Zeros2708
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:02.388229image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.019
median0.0488
Q30.088
95-th percentile0.20331
Maximum1
Range1
Interquartile range (IQR)0.069

Descriptive statistics

Standard deviation0.082868714
Coefficient of variation (CV)1.2174219
Kurtosis30.806349
Mean0.068069019
Median Absolute Deviation (MAD)0.033
Skewness4.2014443
Sum1394.7342
Variance0.0068672238
MonotonicityNot monotonic
2024-09-01T13:15:02.432850image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2708
 
5.6%
0.0321 36
 
0.1%
0.0193 34
 
0.1%
0.0116 33
 
0.1%
0.0143 32
 
0.1%
0.0578 32
 
0.1%
0.0161 31
 
0.1%
0.0337 31
 
0.1%
0.0963 30
 
0.1%
0.0401 30
 
0.1%
Other values (2552) 17493
35.9%
(Missing) 28254
58.0%
ValueCountFrequency (%)
0 2708
5.6%
0.0001 2
 
< 0.1%
0.0002 2
 
< 0.1%
0.0003 1
 
< 0.1%
0.0004 3
 
< 0.1%
0.0006 2
 
< 0.1%
0.0008 2
 
< 0.1%
0.0009 2
 
< 0.1%
0.001 2
 
< 0.1%
0.0011 2
 
< 0.1%
ValueCountFrequency (%)
1 18
< 0.1%
0.9947 1
 
< 0.1%
0.9289 1
 
< 0.1%
0.9103 1
 
< 0.1%
0.9095 3
 
< 0.1%
0.9028 2
 
< 0.1%
0.8849 2
 
< 0.1%
0.8789 2
 
< 0.1%
0.8695 2
 
< 0.1%
0.8483 1
 
< 0.1%

LIVINGAPARTMENTS_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct843
Distinct (%)5.3%
Missing32780
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean0.10706329
Minimum0
Maximum1
Zeros47
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:02.476272image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.012
Q10.0513
median0.077
Q30.1266
95-th percentile0.2916
Maximum1
Range1
Interquartile range (IQR)0.0753

Descriptive statistics

Standard deviation0.099736843
Coefficient of variation (CV)0.93156899
Kurtosis17.030445
Mean0.10706329
Median Absolute Deviation (MAD)0.0325
Skewness3.1714293
Sum1709.1584
Variance0.0099474378
MonotonicityNot monotonic
2024-09-01T13:15:02.521349image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0684 769
 
1.6%
0.0513 725
 
1.5%
0.077 504
 
1.0%
0.0599 410
 
0.8%
0.0855 348
 
0.7%
0.1231 342
 
0.7%
0.0616 283
 
0.6%
0.1026 257
 
0.5%
0.0923 252
 
0.5%
0.0068 221
 
0.5%
Other values (833) 11853
 
24.3%
(Missing) 32780
67.2%
ValueCountFrequency (%)
0 47
0.1%
0.0009 14
 
< 0.1%
0.0017 27
0.1%
0.0026 19
 
< 0.1%
0.0034 59
0.1%
0.0038 1
 
< 0.1%
0.0043 21
 
< 0.1%
0.0051 32
0.1%
0.006 18
 
< 0.1%
0.0064 1
 
< 0.1%
ValueCountFrequency (%)
1 23
< 0.1%
0.9808 2
 
< 0.1%
0.9662 1
 
< 0.1%
0.9509 2
 
< 0.1%
0.9312 1
 
< 0.1%
0.9107 1
 
< 0.1%
0.8876 1
 
< 0.1%
0.8602 1
 
< 0.1%
0.8534 1
 
< 0.1%
0.8525 1
 
< 0.1%

LIVINGAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3885
Distinct (%)15.4%
Missing23552
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.11336773
Minimum0
Maximum1
Zeros49
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:02.921812image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0089
Q10.049
median0.0776
Q30.137425
95-th percentile0.345535
Maximum1
Range1
Interquartile range (IQR)0.088425

Descriptive statistics

Standard deviation0.11650288
Coefficient of variation (CV)1.0276547
Kurtosis11.771549
Mean0.11336773
Median Absolute Deviation (MAD)0.039
Skewness2.8284033
Sum2855.9599
Variance0.013572921
MonotonicityNot monotonic
2024-09-01T13:15:02.966280image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 49
 
0.1%
0.0548 44
 
0.1%
0.0519 44
 
0.1%
0.0713 42
 
0.1%
0.0518 39
 
0.1%
0.0525 39
 
0.1%
0.0644 39
 
0.1%
0.0645 39
 
0.1%
0.0522 38
 
0.1%
0.0709 38
 
0.1%
Other values (3875) 24781
50.8%
(Missing) 23552
48.3%
ValueCountFrequency (%)
0 49
0.1%
0.0001 3
 
< 0.1%
0.0002 1
 
< 0.1%
0.0003 2
 
< 0.1%
0.0004 2
 
< 0.1%
0.0005 1
 
< 0.1%
0.0006 3
 
< 0.1%
0.0007 3
 
< 0.1%
0.0008 5
 
< 0.1%
0.0009 5
 
< 0.1%
ValueCountFrequency (%)
1 31
0.1%
0.9931 1
 
< 0.1%
0.9877 2
 
< 0.1%
0.977 4
 
< 0.1%
0.9694 2
 
< 0.1%
0.9659 1
 
< 0.1%
0.9641 1
 
< 0.1%
0.9619 1
 
< 0.1%
0.9532 1
 
< 0.1%
0.9445 1
 
< 0.1%

NONLIVINGAPARTMENTS_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct134
Distinct (%)0.9%
Missing33347
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.008978853
Minimum0
Maximum1
Zeros9117
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:03.009437image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0311
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.048148473
Coefficient of variation (CV)5.3624302
Kurtosis244.47737
Mean0.008978853
Median Absolute Deviation (MAD)0
Skewness14.403746
Sum138.2474
Variance0.0023182754
MonotonicityNot monotonic
2024-09-01T13:15:03.054290image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9117
 
18.7%
0.0039 2341
 
4.8%
0.0078 1054
 
2.2%
0.0116 592
 
1.2%
0.0155 483
 
1.0%
0.0194 263
 
0.5%
0.0233 217
 
0.4%
0.0019 208
 
0.4%
0.0272 141
 
0.3%
0.0311 133
 
0.3%
Other values (124) 848
 
1.7%
(Missing) 33347
68.4%
ValueCountFrequency (%)
0 9117
18.7%
0.0019 208
 
0.4%
0.0039 2341
 
4.8%
0.0058 92
 
0.2%
0.0078 1054
 
2.2%
0.0097 33
 
0.1%
0.0116 592
 
1.2%
0.0136 31
 
0.1%
0.0155 483
 
1.0%
0.0175 14
 
< 0.1%
ValueCountFrequency (%)
1 13
< 0.1%
0.9394 1
 
< 0.1%
0.8851 1
 
< 0.1%
0.8734 1
 
< 0.1%
0.8618 1
 
< 0.1%
0.8268 1
 
< 0.1%
0.7919 1
 
< 0.1%
0.7531 1
 
< 0.1%
0.7453 1
 
< 0.1%
0.7104 1
 
< 0.1%

NONLIVINGAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2030
Distinct (%)9.0%
Missing26084
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean0.029296289
Minimum0
Maximum1
Zeros9867
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:03.097785image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0031
Q30.028025
95-th percentile0.1343
Maximum1
Range1
Interquartile range (IQR)0.028025

Descriptive statistics

Standard deviation0.072997973
Coefficient of variation (CV)2.491714
Kurtosis61.711661
Mean0.029296289
Median Absolute Deviation (MAD)0.0031
Skewness6.4696137
Sum663.8539
Variance0.0053287041
MonotonicityNot monotonic
2024-09-01T13:15:03.143158image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9867
 
20.2%
0.0012 97
 
0.2%
0.0023 82
 
0.2%
0.0025 77
 
0.2%
0.0037 75
 
0.2%
0.0013 73
 
0.1%
0.0031 72
 
0.1%
0.001 70
 
0.1%
0.0022 69
 
0.1%
0.0036 68
 
0.1%
Other values (2020) 12110
24.8%
(Missing) 26084
53.5%
ValueCountFrequency (%)
0 9867
20.2%
0.0001 23
 
< 0.1%
0.0002 12
 
< 0.1%
0.0003 13
 
< 0.1%
0.0004 24
 
< 0.1%
0.0005 28
 
0.1%
0.0006 32
 
0.1%
0.0007 53
 
0.1%
0.0008 22
 
< 0.1%
0.0009 39
 
0.1%
ValueCountFrequency (%)
1 27
0.1%
0.949 1
 
< 0.1%
0.929 1
 
< 0.1%
0.9233 2
 
< 0.1%
0.9011 1
 
< 0.1%
0.8833 1
 
< 0.1%
0.8607 1
 
< 0.1%
0.8552 1
 
< 0.1%
0.8468 1
 
< 0.1%
0.8154 1
 
< 0.1%

FONDKAPREMONT_MODE
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing32797
Missing (%)67.3%
Memory size3.1 MiB
reg oper account
12124 
reg oper spec account
1990 
org spec account
 
920
not specified
 
913

Length

Max length21
Median length16
Mean length16.452185
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowreg oper account
2nd rowreg oper spec account
3rd rowreg oper account
4th rownot specified
5th rowreg oper spec account

Common Values

ValueCountFrequency (%)
reg oper account 12124
 
24.9%
reg oper spec account 1990
 
4.1%
org spec account 920
 
1.9%
not specified 913
 
1.9%
(Missing) 32797
67.3%

Length

2024-09-01T13:15:03.191156image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:03.235436image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

HOUSETYPE_MODE
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing23619
Missing (%)48.5%
Memory size3.1 MiB
block of flats
24659 
specific housing
 
262
terraced house
 
204

Length

Max length16
Median length14
Mean length14.020856
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowblock of flats
2nd rowblock of flats
3rd rowblock of flats
4th rowblock of flats
5th rowblock of flats

Common Values

ValueCountFrequency (%)
block of flats 24659
50.6%
specific housing 262
 
0.5%
terraced house 204
 
0.4%
(Missing) 23619
48.5%

Length

2024-09-01T13:15:03.286233image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:03.326755image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

TOTALAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3820
Distinct (%)14.6%
Missing22624
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean0.10712853
Minimum0
Maximum1
Zeros73
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:03.367223image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0075
Q10.0432
median0.0707
Q30.1357
95-th percentile0.3203
Maximum1
Range1
Interquartile range (IQR)0.0925

Descriptive statistics

Standard deviation0.11141991
Coefficient of variation (CV)1.0400582
Kurtosis11.865591
Mean0.10712853
Median Absolute Deviation (MAD)0.0381
Skewness2.7854919
Sum2798.1973
Variance0.012414397
MonotonicityNot monotonic
2024-09-01T13:15:03.410601image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 73
 
0.1%
0.0688 49
 
0.1%
0.0551 43
 
0.1%
0.0538 41
 
0.1%
0.0541 40
 
0.1%
0.05 39
 
0.1%
0.0548 38
 
0.1%
0.057 38
 
0.1%
0.0064 38
 
0.1%
0.06 38
 
0.1%
Other values (3810) 25683
52.7%
(Missing) 22624
46.4%
ValueCountFrequency (%)
0 73
0.1%
0.0001 3
 
< 0.1%
0.0003 6
 
< 0.1%
0.0005 3
 
< 0.1%
0.0006 8
 
< 0.1%
0.0007 3
 
< 0.1%
0.0008 10
 
< 0.1%
0.0009 8
 
< 0.1%
0.001 12
 
< 0.1%
0.0011 10
 
< 0.1%
ValueCountFrequency (%)
1 31
0.1%
0.9973 1
 
< 0.1%
0.979 1
 
< 0.1%
0.9746 1
 
< 0.1%
0.971 1
 
< 0.1%
0.956 1
 
< 0.1%
0.9484 1
 
< 0.1%
0.9468 1
 
< 0.1%
0.9386 2
 
< 0.1%
0.9127 1
 
< 0.1%

WALLSMATERIAL_MODE
Categorical

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing23893
Missing (%)49.0%
Memory size3.0 MiB
Panel
11269 
Stone, brick
10434 
Block
1428 
Wooden
 
794
Mixed
 
353
Other values (2)
 
573

Length

Max length12
Median length5
Mean length8.0405617
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStone, brick
2nd rowStone, brick
3rd rowPanel
4th rowPanel
5th rowPanel

Common Values

ValueCountFrequency (%)
Panel 11269
23.1%
Stone, brick 10434
21.4%
Block 1428
 
2.9%
Wooden 794
 
1.6%
Mixed 353
 
0.7%
Monolithic 289
 
0.6%
Others 284
 
0.6%
(Missing) 23893
49.0%

Length

2024-09-01T13:15:03.458817image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:03.501170image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

EMERGENCYSTATE_MODE
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing22209
Missing (%)45.6%
Memory size476.0 KiB
False
26179 
True
 
356
(Missing)
22209 
ValueCountFrequency (%)
False 26179
53.7%
True 356
 
0.7%
(Missing) 22209
45.6%
2024-09-01T13:15:03.540165image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

OBS_30_CNT_SOCIAL_CIRCLE
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct28
Distinct (%)0.1%
Missing29
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.4476445
Minimum0
Maximum354
Zeros26025
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:03.574285image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum354
Range354
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6080533
Coefficient of variation (CV)2.4923615
Kurtosis5550.4297
Mean1.4476445
Median Absolute Deviation (MAD)0
Skewness57.638489
Sum70522
Variance13.018049
MonotonicityNot monotonic
2024-09-01T13:15:03.618034image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 26025
53.4%
1 7765
 
15.9%
2 4751
 
9.7%
3 3269
 
6.7%
4 2202
 
4.5%
5 1467
 
3.0%
6 1034
 
2.1%
7 695
 
1.4%
8 486
 
1.0%
9 344
 
0.7%
Other values (18) 677
 
1.4%
ValueCountFrequency (%)
0 26025
53.4%
1 7765
 
15.9%
2 4751
 
9.7%
3 3269
 
6.7%
4 2202
 
4.5%
5 1467
 
3.0%
6 1034
 
2.1%
7 695
 
1.4%
8 486
 
1.0%
9 344
 
0.7%
ValueCountFrequency (%)
354 1
 
< 0.1%
353 1
 
< 0.1%
352 1
 
< 0.1%
29 1
 
< 0.1%
23 3
 
< 0.1%
22 1
 
< 0.1%
21 2
 
< 0.1%
20 9
< 0.1%
19 8
< 0.1%
18 10
< 0.1%

DEF_30_CNT_SOCIAL_CIRCLE
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing29
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.14365185
Minimum0
Maximum34
Zeros43195
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:03.658181image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5144128
Coefficient of variation (CV)3.5809688
Kurtosis1164.9023
Mean0.14365185
Median Absolute Deviation (MAD)0
Skewness20.003112
Sum6998
Variance0.26462053
MonotonicityNot monotonic
2024-09-01T13:15:03.696995image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 43195
88.6%
1 4443
 
9.1%
2 834
 
1.7%
3 189
 
0.4%
4 40
 
0.1%
5 8
 
< 0.1%
6 3
 
< 0.1%
34 3
 
< 0.1%
(Missing) 29
 
0.1%
ValueCountFrequency (%)
0 43195
88.6%
1 4443
 
9.1%
2 834
 
1.7%
3 189
 
0.4%
4 40
 
0.1%
5 8
 
< 0.1%
6 3
 
< 0.1%
34 3
 
< 0.1%
ValueCountFrequency (%)
34 3
 
< 0.1%
6 3
 
< 0.1%
5 8
 
< 0.1%
4 40
 
0.1%
3 189
 
0.4%
2 834
 
1.7%
1 4443
 
9.1%
0 43195
88.6%

OBS_60_CNT_SOCIAL_CIRCLE
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct27
Distinct (%)0.1%
Missing29
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.4357385
Minimum0
Maximum351
Zeros26140
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:03.738154image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum351
Range351
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.5801246
Coefficient of variation (CV)2.4935771
Kurtosis5512.4115
Mean1.4357385
Median Absolute Deviation (MAD)0
Skewness57.35158
Sum69942
Variance12.817292
MonotonicityNot monotonic
2024-09-01T13:15:03.781007image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 26140
53.6%
1 7741
 
15.9%
2 4735
 
9.7%
3 3262
 
6.7%
4 2199
 
4.5%
5 1441
 
3.0%
6 1030
 
2.1%
7 677
 
1.4%
8 490
 
1.0%
9 334
 
0.7%
Other values (17) 666
 
1.4%
ValueCountFrequency (%)
0 26140
53.6%
1 7741
 
15.9%
2 4735
 
9.7%
3 3262
 
6.7%
4 2199
 
4.5%
5 1441
 
3.0%
6 1030
 
2.1%
7 677
 
1.4%
8 490
 
1.0%
9 334
 
0.7%
ValueCountFrequency (%)
351 1
 
< 0.1%
349 2
 
< 0.1%
29 1
 
< 0.1%
23 3
 
< 0.1%
22 1
 
< 0.1%
21 2
 
< 0.1%
20 8
< 0.1%
19 6
 
< 0.1%
18 12
< 0.1%
17 16
< 0.1%

DEF_60_CNT_SOCIAL_CIRCLE
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing29
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.10113928
Minimum0
Maximum24
Zeros44614
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:03.822107image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40379117
Coefficient of variation (CV)3.9924268
Kurtosis769.63489
Mean0.10113928
Median Absolute Deviation (MAD)0
Skewness15.799743
Sum4927
Variance0.16304731
MonotonicityNot monotonic
2024-09-01T13:15:03.860736image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 44614
91.5%
1 3484
 
7.1%
2 496
 
1.0%
3 97
 
0.2%
4 17
 
< 0.1%
5 4
 
< 0.1%
24 3
 
< 0.1%
(Missing) 29
 
0.1%
ValueCountFrequency (%)
0 44614
91.5%
1 3484
 
7.1%
2 496
 
1.0%
3 97
 
0.2%
4 17
 
< 0.1%
5 4
 
< 0.1%
24 3
 
< 0.1%
ValueCountFrequency (%)
24 3
 
< 0.1%
5 4
 
< 0.1%
4 17
 
< 0.1%
3 97
 
0.2%
2 496
 
1.0%
1 3484
 
7.1%
0 44614
91.5%

DAYS_LAST_PHONE_CHANGE
Real number (ℝ)

ZEROS 

Distinct3579
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1077.7662
Minimum-4361
Maximum0
Zeros5801
Zeros (%)11.9%
Negative42943
Negative (%)88.1%
Memory size761.6 KiB
2024-09-01T13:15:03.900612image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-4361
5-th percentile-2729.85
Q1-1766.25
median-863
Q3-363
95-th percentile0
Maximum0
Range4361
Interquartile range (IQR)1403.25

Descriptive statistics

Standard deviation878.92074
Coefficient of variation (CV)-0.81550221
Kurtosis-0.39541973
Mean-1077.7662
Median Absolute Deviation (MAD)638
Skewness-0.67382425
Sum-52534637
Variance772501.67
MonotonicityNot monotonic
2024-09-01T13:15:03.940829image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5801
 
11.9%
-1 174
 
0.4%
-2 71
 
0.1%
-3 45
 
0.1%
-1799 44
 
0.1%
-4 43
 
0.1%
-565 42
 
0.1%
-1783 42
 
0.1%
-608 41
 
0.1%
-1785 41
 
0.1%
Other values (3569) 42400
87.0%
ValueCountFrequency (%)
-4361 1
< 0.1%
-4285 1
< 0.1%
-4257 1
< 0.1%
-4250 1
< 0.1%
-4187 1
< 0.1%
-4178 1
< 0.1%
-4164 1
< 0.1%
-4151 1
< 0.1%
-4103 1
< 0.1%
-4088 1
< 0.1%
ValueCountFrequency (%)
0 5801
11.9%
-1 174
 
0.4%
-2 71
 
0.1%
-3 45
 
0.1%
-4 43
 
0.1%
-5 35
 
0.1%
-6 14
 
< 0.1%
-7 27
 
0.1%
-8 20
 
< 0.1%
-9 17
 
< 0.1%

FLAG_DOCUMENT_2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:03.982077image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.014145image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_3
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
1
38343 
0
10401 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 38343
78.7%
0 10401
 
21.3%

Length

2024-09-01T13:15:04.051841image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.086055image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_4
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48739 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48739
> 99.9%
1 5
 
< 0.1%

Length

2024-09-01T13:15:04.123341image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.157025image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_5
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48025 
1
 
719

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48025
98.5%
1 719
 
1.5%

Length

2024-09-01T13:15:04.194055image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.227185image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_6
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
44480 
1
 
4264

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44480
91.3%
1 4264
 
8.7%

Length

2024-09-01T13:15:04.263655image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.296722image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_7
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48742 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48742
> 99.9%
1 2
 
< 0.1%

Length

2024-09-01T13:15:04.334223image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.370547image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_8
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
44432 
1
 
4312

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 44432
91.2%
1 4312
 
8.8%

Length

2024-09-01T13:15:04.407697image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.441760image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_9
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48525 
1
 
219

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48525
99.6%
1 219
 
0.4%

Length

2024-09-01T13:15:04.479212image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.512186image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_10
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:04.547860image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.580221image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_11
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48687 
1
 
57

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48687
99.9%
1 57
 
0.1%

Length

2024-09-01T13:15:04.614468image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.646536image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_12
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:04.682669image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.713663image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_13
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:04.748250image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.779568image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_14
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:04.814380image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.859314image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_15
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:04.900056image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:04.940516image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_16
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:04.980890image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.016812image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_17
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:05.056404image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.091058image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_18
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48668 
1
 
76

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48668
99.8%
1 76
 
0.2%

Length

2024-09-01T13:15:05.127002image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.170247image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_19
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:05.210491image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.243253image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_20
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:05.280278image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.314022image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_21
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.7 MiB
0
48744 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48744
100.0%

Length

2024-09-01T13:15:05.349418image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.382258image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

AMT_REQ_CREDIT_BUREAU_HOUR
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Memory size2.8 MiB
0.0
42606 
1.0
 
88
2.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 42606
87.4%
1.0 88
 
0.2%
2.0 1
 
< 0.1%
(Missing) 6049
 
12.4%

Length

2024-09-01T13:15:05.417008image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.454146image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

AMT_REQ_CREDIT_BUREAU_DAY
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Memory size2.8 MiB
0.0
42625 
1.0
 
63
2.0
 
7

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 42625
87.4%
1.0 63
 
0.1%
2.0 7
 
< 0.1%
(Missing) 6049
 
12.4%

Length

2024-09-01T13:15:05.494507image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.531682image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

AMT_REQ_CREDIT_BUREAU_WEEK
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Memory size2.8 MiB
0.0
42579 
1.0
 
113
2.0
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 42579
87.4%
1.0 113
 
0.2%
2.0 3
 
< 0.1%
(Missing) 6049
 
12.4%

Length

2024-09-01T13:15:05.573496image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:15:05.611695image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

AMT_REQ_CREDIT_BUREAU_MON
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean0.0092985127
Minimum0
Maximum6
Zeros42341
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:05.647042image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.11092356
Coefficient of variation (CV)11.929172
Kurtosis485.24666
Mean0.0092985127
Median Absolute Deviation (MAD)0
Skewness17.270891
Sum397
Variance0.012304035
MonotonicityNot monotonic
2024-09-01T13:15:05.685972image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 42341
86.9%
1 324
 
0.7%
2 23
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 6049
 
12.4%
ValueCountFrequency (%)
0 42341
86.9%
1 324
 
0.7%
2 23
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 4
 
< 0.1%
2 23
 
< 0.1%
1 324
 
0.7%
0 42341
86.9%

AMT_REQ_CREDIT_BUREAU_QRT
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean0.54690245
Minimum0
Maximum7
Zeros23559
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:05.723234image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.69330542
Coefficient of variation (CV)1.2676949
Kurtosis1.9784103
Mean0.54690245
Median Absolute Deviation (MAD)0
Skewness1.2546118
Sum23350
Variance0.48067241
MonotonicityNot monotonic
2024-09-01T13:15:05.762907image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 23559
48.3%
1 15573
31.9%
2 2998
 
6.2%
3 495
 
1.0%
4 57
 
0.1%
5 11
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 6049
 
12.4%
ValueCountFrequency (%)
0 23559
48.3%
1 15573
31.9%
2 2998
 
6.2%
3 495
 
1.0%
4 57
 
0.1%
5 11
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 1
 
< 0.1%
5 11
 
< 0.1%
4 57
 
0.1%
3 495
 
1.0%
2 2998
 
6.2%
1 15573
31.9%
0 23559
48.3%

AMT_REQ_CREDIT_BUREAU_YEAR
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean1.9837686
Minimum0
Maximum17
Zeros10839
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size761.6 KiB
2024-09-01T13:15:05.802513image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile6
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8388727
Coefficient of variation (CV)0.9269593
Kurtosis1.2251202
Mean1.9837686
Median Absolute Deviation (MAD)1
Skewness1.0654241
Sum84697
Variance3.3814529
MonotonicityNot monotonic
2024-09-01T13:15:05.844947image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 10839
22.2%
1 9211
18.9%
2 8489
17.4%
3 6194
12.7%
4 3745
 
7.7%
5 2076
 
4.3%
6 1127
 
2.3%
7 553
 
1.1%
8 297
 
0.6%
9 122
 
0.3%
Other values (6) 42
 
0.1%
(Missing) 6049
12.4%
ValueCountFrequency (%)
0 10839
22.2%
1 9211
18.9%
2 8489
17.4%
3 6194
12.7%
4 3745
 
7.7%
5 2076
 
4.3%
6 1127
 
2.3%
7 553
 
1.1%
8 297
 
0.6%
9 122
 
0.3%
ValueCountFrequency (%)
17 1
 
< 0.1%
14 1
 
< 0.1%
13 2
 
< 0.1%
12 5
 
< 0.1%
11 12
 
< 0.1%
10 21
 
< 0.1%
9 122
 
0.3%
8 297
 
0.6%
7 553
1.1%
6 1127
2.3%

Correlations

2024-09-01T13:15:05.934722image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
AMT_ANNUITYAMT_CREDITAMT_GOODS_PRICEAMT_INCOME_TOTALAMT_REQ_CREDIT_BUREAU_DAYAMT_REQ_CREDIT_BUREAU_HOURAMT_REQ_CREDIT_BUREAU_MONAMT_REQ_CREDIT_BUREAU_QRTAMT_REQ_CREDIT_BUREAU_WEEKAMT_REQ_CREDIT_BUREAU_YEARAPARTMENTS_AVGAPARTMENTS_MEDIAPARTMENTS_MODEBASEMENTAREA_AVGBASEMENTAREA_MEDIBASEMENTAREA_MODECNT_CHILDRENCNT_FAM_MEMBERSCODE_GENDERCOMMONAREA_AVGCOMMONAREA_MEDICOMMONAREA_MODEDAYS_BIRTHDAYS_EMPLOYEDDAYS_ID_PUBLISHDAYS_LAST_PHONE_CHANGEDAYS_REGISTRATIONDEF_30_CNT_SOCIAL_CIRCLEDEF_60_CNT_SOCIAL_CIRCLEELEVATORS_AVGELEVATORS_MEDIELEVATORS_MODEEMERGENCYSTATE_MODEENTRANCES_AVGENTRANCES_MEDIENTRANCES_MODEEXT_SOURCE_1EXT_SOURCE_2EXT_SOURCE_3FLAG_CONT_MOBILEFLAG_DOCUMENT_11FLAG_DOCUMENT_18FLAG_DOCUMENT_3FLAG_DOCUMENT_4FLAG_DOCUMENT_5FLAG_DOCUMENT_6FLAG_DOCUMENT_7FLAG_DOCUMENT_8FLAG_DOCUMENT_9FLAG_EMAILFLAG_EMP_PHONEFLAG_MOBILFLAG_OWN_CARFLAG_OWN_REALTYFLAG_PHONEFLAG_WORK_PHONEFLOORSMAX_AVGFLOORSMAX_MEDIFLOORSMAX_MODEFLOORSMIN_AVGFLOORSMIN_MEDIFLOORSMIN_MODEFONDKAPREMONT_MODEHOUR_APPR_PROCESS_STARTHOUSETYPE_MODELANDAREA_AVGLANDAREA_MEDILANDAREA_MODELIVE_CITY_NOT_WORK_CITYLIVE_REGION_NOT_WORK_REGIONLIVINGAPARTMENTS_AVGLIVINGAPARTMENTS_MEDILIVINGAPARTMENTS_MODELIVINGAREA_AVGLIVINGAREA_MEDILIVINGAREA_MODENAME_CONTRACT_TYPENAME_EDUCATION_TYPENAME_FAMILY_STATUSNAME_HOUSING_TYPENAME_INCOME_TYPENAME_TYPE_SUITENONLIVINGAPARTMENTS_AVGNONLIVINGAPARTMENTS_MEDINONLIVINGAPARTMENTS_MODENONLIVINGAREA_AVGNONLIVINGAREA_MEDINONLIVINGAREA_MODEOBS_30_CNT_SOCIAL_CIRCLEOBS_60_CNT_SOCIAL_CIRCLEOCCUPATION_TYPEOWN_CAR_AGEREGION_POPULATION_RELATIVEREGION_RATING_CLIENTREGION_RATING_CLIENT_W_CITYREG_CITY_NOT_LIVE_CITYREG_CITY_NOT_WORK_CITYREG_REGION_NOT_LIVE_REGIONREG_REGION_NOT_WORK_REGIONSK_ID_CURRTOTALAREA_MODEWALLSMATERIAL_MODEWEEKDAY_APPR_PROCESS_STARTYEARS_BEGINEXPLUATATION_AVGYEARS_BEGINEXPLUATATION_MEDIYEARS_BEGINEXPLUATATION_MODEYEARS_BUILD_AVGYEARS_BUILD_MEDIYEARS_BUILD_MODE
AMT_ANNUITY1.0000.8350.8430.4850.0160.0110.0080.0160.008-0.0420.0720.0690.0610.0450.0430.0300.0590.1270.0810.0440.0400.0320.053-0.1250.055-0.0350.067-0.021-0.0250.1150.1110.1070.0100.0200.0170.0090.0850.114-0.0090.0450.0250.0090.0440.0070.0110.0850.0000.1260.0390.0740.1360.0130.1560.0240.0260.0580.1150.1130.1080.0850.0830.0770.0100.0360.007-0.029-0.032-0.0370.0210.0820.0760.0730.0630.0840.0810.0700.1120.0790.0840.0080.0710.0200.0410.0360.0320.0570.0510.039-0.011-0.0110.071-0.1180.0800.1360.1150.0160.0270.0500.0900.0080.0840.0240.0090.0470.0460.0430.0440.0440.041
AMT_CREDIT0.8351.0000.9840.4260.0270.0000.0040.0010.000-0.0300.0620.0600.0530.0410.0380.0290.0260.1050.0370.0270.0240.016-0.051-0.1300.021-0.0920.035-0.020-0.0240.0970.0940.0910.0070.0170.0150.0080.1670.1210.0070.0350.0240.0130.0270.0000.0170.0520.0000.0730.0270.0660.0860.0290.1240.0230.0390.0690.0980.0960.0930.0680.0660.0600.0000.0270.006-0.031-0.033-0.0370.0210.0510.0620.0590.0490.0710.0690.0610.0950.0790.0880.0240.0540.0160.0400.0360.0340.0520.0480.039-0.000-0.0000.075-0.1080.0760.1130.0940.0260.0330.0220.0530.0050.0740.0240.0040.0410.0400.0380.0340.0340.031
AMT_GOODS_PRICE0.8430.9841.0000.4310.2670.0000.0040.0000.000-0.0330.0680.0660.0580.0450.0420.0320.0230.1070.0460.0290.0260.017-0.045-0.1330.021-0.0970.037-0.020-0.0230.1020.0990.0960.0100.0210.0190.0110.1700.1270.0090.0250.0950.0200.0230.0000.0090.0650.0000.0790.0320.0510.0970.0290.1260.0370.0370.0360.1040.1030.0990.0700.0680.0610.0060.0330.007-0.027-0.029-0.0330.0340.0580.0660.0630.0530.0780.0750.0670.0720.0830.0910.0230.0560.0150.0410.0370.0350.0530.0490.039-0.001-0.0010.082-0.1200.0860.1100.0920.0240.0390.0250.0600.0060.0800.0220.0070.0450.0440.0420.0380.0370.035
AMT_INCOME_TOTAL0.4850.4260.4311.0000.0000.0000.0120.0130.0000.0200.1020.1000.0870.0610.0580.0410.0470.0440.0400.0730.0680.0570.073-0.1780.039-0.0640.075-0.037-0.0440.1480.1440.1390.0000.0340.0310.0170.0800.173-0.1000.0000.0000.0000.0400.0000.0000.0160.0000.0700.0400.0430.0370.0000.0690.0000.0180.0140.1530.1510.1440.1080.1050.0970.0070.0920.000-0.035-0.036-0.0440.0080.0660.1060.1020.0890.1260.1240.1070.0000.0480.0090.0080.0270.0000.0620.0570.0470.0770.0720.055-0.030-0.0310.072-0.2050.1020.0820.0680.0120.0100.0460.0620.0070.1230.0220.0000.0550.0540.0500.0460.0460.042
AMT_REQ_CREDIT_BUREAU_DAY0.0160.0270.2670.0001.0000.2830.0000.0000.0280.0000.0050.0050.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0010.0000.0000.0000.0000.0000.0000.0000.0100.0120.0000.0000.0000.0420.0150.0000.0000.0540.0000.0060.0000.0000.0150.0000.0000.0020.0070.0010.0000.0050.0070.0100.0030.0080.0070.0070.0260.0240.0240.0000.0000.0000.0200.0240.0300.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0060.0000.0000.0050.0000.0000.0120.0070.0080.0000.0000.0000.0000.0000.0000.0000.000
AMT_REQ_CREDIT_BUREAU_HOUR0.0110.0000.0000.0000.2831.0000.0740.0000.0000.0050.0290.0290.0080.0130.0140.0110.0000.0000.0090.0000.0000.0000.0000.0110.0060.0140.0000.0000.0000.0190.0180.0060.0000.0120.0130.0150.0160.0100.0070.0090.0000.0000.0000.0000.0030.0010.0000.0000.0000.0040.0110.0000.0000.0000.0000.0060.0420.0450.0480.0190.0200.0250.0160.0130.0000.0310.0350.0420.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0060.0050.0000.0000.0060.0310.0000.0130.0000.0000.0000.0000.0000.000
AMT_REQ_CREDIT_BUREAU_MON0.0080.0040.0040.0120.0000.0741.000-0.0040.0700.024-0.003-0.003-0.001-0.000-0.0010.000-0.005-0.0000.007-0.011-0.012-0.0110.013-0.0100.0080.0110.004-0.002-0.002-0.010-0.008-0.0070.000-0.000-0.000-0.002-0.012-0.011-0.0250.0000.0000.0000.0110.0000.0390.0000.0000.0000.0000.0120.0080.0000.0000.0090.0000.015-0.006-0.005-0.005-0.009-0.010-0.0080.0000.0010.0000.0060.0060.0030.0000.000-0.012-0.012-0.010-0.003-0.002-0.0010.0000.0100.0000.0000.0020.000-0.007-0.008-0.0080.0000.002-0.001-0.000-0.0010.000-0.013-0.0060.0090.0000.0000.0000.0000.0000.000-0.0030.0000.006-0.004-0.004-0.004-0.006-0.005-0.005
AMT_REQ_CREDIT_BUREAU_QRT0.0160.0010.0000.0130.0000.000-0.0041.0000.069-0.005-0.007-0.010-0.005-0.004-0.005-0.0020.0300.0200.037-0.007-0.010-0.0060.0870.0030.0250.0580.0410.0100.010-0.009-0.010-0.0100.0000.0040.0030.005-0.057-0.036-0.0980.0000.0140.0210.0210.0000.0400.0290.0000.0170.0000.0220.0470.0000.0170.0170.0200.000-0.007-0.008-0.007-0.027-0.029-0.0270.000-0.0000.0000.0030.0030.0060.0140.000-0.004-0.007-0.004-0.006-0.007-0.0050.0150.0180.0170.0160.0220.0000.0150.0160.0190.0090.0090.0090.0030.0030.0090.002-0.0320.0210.0140.0260.0240.0000.0000.000-0.0040.0000.0390.0070.0070.0080.0060.0060.006
AMT_REQ_CREDIT_BUREAU_WEEK0.0080.0000.0000.0000.0280.0000.0700.0691.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0130.0120.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0160.0000.0000.0070.0040.0000.0000.0000.0000.0000.0000.0000.0120.0000.0040.0000.0000.0000.0050.0140.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0010.0000.0000.0000.0000.0080.0000.0000.0050.0000.0000.0000.0000.0080.0000.000
AMT_REQ_CREDIT_BUREAU_YEAR-0.042-0.030-0.0330.0200.0000.0050.024-0.0050.0001.000-0.006-0.008-0.0060.0050.0040.006-0.041-0.0230.0220.0120.0120.014-0.0870.019-0.048-0.109-0.0330.0210.018-0.016-0.017-0.0170.012-0.000-0.0020.0010.017-0.0060.0070.0020.0190.0000.0160.0000.0040.0480.0000.0250.0000.0000.0680.0000.0340.0460.0080.056-0.013-0.013-0.0140.0010.0010.0010.005-0.0300.0220.0060.0060.0070.0170.017-0.004-0.006-0.000-0.009-0.011-0.0100.0190.0270.0200.0000.0320.0000.0050.0040.009-0.005-0.004-0.0020.0200.0200.0130.0080.0020.0100.0060.0250.0260.0260.0280.004-0.0080.0240.036-0.027-0.027-0.026-0.032-0.032-0.030
APARTMENTS_AVG0.0720.0620.0680.1020.0050.029-0.003-0.0070.000-0.0061.0000.9950.9620.6920.6860.645-0.0050.0030.0090.5800.5740.549-0.001-0.010-0.003-0.0130.006-0.020-0.0170.7140.7100.6970.0820.5580.5500.5100.0440.1010.0150.0000.0000.0170.0390.0000.0000.0101.0000.0390.0250.0440.0000.0030.0230.0290.0600.0230.7480.7470.7420.4890.4850.4710.0460.0670.0500.4170.4120.3880.0760.0150.9730.9690.9410.9050.9000.8690.0000.0380.0000.0070.0200.0080.2800.2750.2590.2320.2250.207-0.023-0.0220.027-0.0930.1650.1300.1370.0610.1020.0310.000-0.0040.8940.1450.0000.4320.4300.4290.4040.4020.402
APARTMENTS_MEDI0.0690.0600.0660.1000.0050.029-0.003-0.0100.000-0.0080.9951.0000.9680.6880.6890.651-0.0050.0030.0130.5760.5760.555-0.001-0.009-0.003-0.0120.006-0.020-0.0170.7040.7070.6960.0810.5570.5550.5170.0420.0990.0150.0000.0000.0160.0380.0000.0000.0121.0000.0370.0270.0430.0000.0040.0240.0310.0580.0240.7420.7440.7400.4850.4830.4710.0470.0670.0510.4170.4150.3940.0750.0170.9660.9700.9450.8980.9020.8740.0000.0380.0000.0070.0190.0080.2730.2740.2620.2260.2250.211-0.024-0.0230.027-0.0920.1610.1280.1340.0600.1010.0300.008-0.0040.8880.1430.0000.4310.4290.4290.4000.4000.402
APARTMENTS_MODE0.0610.0530.0580.0870.0050.008-0.001-0.0050.000-0.0060.9620.9681.0000.6690.6720.676-0.0050.0040.0130.5520.5540.560-0.000-0.007-0.003-0.0110.004-0.018-0.0150.6550.6610.6780.0800.5540.5560.5570.0350.0890.0130.0000.0000.0220.0350.0000.0000.0151.0000.0350.0240.0410.0000.0070.0210.0330.0510.0210.7080.7120.7270.4530.4520.4550.0390.0580.0500.4180.4180.4230.0660.0110.9230.9290.9510.8670.8730.8920.0000.0350.0000.0040.0170.0050.2460.2540.2680.1980.2060.227-0.020-0.0200.028-0.0840.1470.1110.1190.0550.0900.0300.000-0.0060.8680.1390.0000.4090.4080.4230.3670.3660.381
BASEMENTAREA_AVG0.0450.0410.0450.0610.0000.013-0.000-0.0040.0000.0050.6920.6880.6691.0000.9950.9600.0050.0130.0040.4700.4660.452-0.0140.001-0.024-0.013-0.032-0.015-0.0100.4410.4360.4270.0510.6570.6500.6150.0420.0570.0140.0000.0000.0000.0240.0000.0000.0001.0000.0220.0300.0280.0000.0230.0000.0120.0580.0000.4190.4190.4220.2800.2770.2710.0420.0240.0330.4000.3970.3830.0390.0000.6920.6900.6730.7110.7070.6880.0000.0240.0140.0100.0080.0220.1900.1880.1800.1650.1640.159-0.015-0.0150.019-0.0520.0790.0750.0800.0530.0580.0280.000-0.0030.7060.1080.0030.3030.3010.3060.2890.2870.291
BASEMENTAREA_MEDI0.0430.0380.0420.0580.0000.014-0.001-0.0050.0000.0040.6860.6890.6720.9951.0000.9630.0050.0120.0040.4660.4660.455-0.0130.002-0.022-0.011-0.030-0.015-0.0100.4340.4330.4240.0510.6550.6560.6220.0400.0550.0140.0000.0000.0000.0230.0000.0000.0001.0000.0210.0300.0280.0000.0230.0000.0160.0550.0000.4130.4140.4170.2740.2730.2680.0430.0240.0330.4010.4000.3870.0380.0050.6860.6890.6740.7050.7070.6900.0000.0230.0130.0100.0080.0220.1830.1850.1810.1610.1640.162-0.016-0.0160.020-0.0510.0740.0710.0760.0530.0570.0280.000-0.0030.7000.1070.0030.3010.3000.3050.2860.2850.291
BASEMENTAREA_MODE0.0300.0290.0320.0410.0000.0110.000-0.0020.0000.0060.6450.6510.6760.9600.9631.0000.0070.0140.0000.4400.4440.464-0.0110.003-0.023-0.008-0.029-0.011-0.0060.3820.3880.4040.0480.6400.6420.6460.0320.0370.0100.0000.0000.0000.0190.0000.0000.0001.0000.0080.0310.0240.0000.0230.0000.0200.0480.0000.3710.3760.3940.2450.2460.2560.0360.0100.0330.4020.4040.4200.0290.0000.6400.6470.6720.6630.6690.6970.0000.0190.0100.0090.0000.0230.1520.1670.1910.1280.1460.182-0.010-0.0090.016-0.0380.0440.0530.0560.0450.0480.0240.000-0.0040.6650.1070.0000.2820.2830.3010.2630.2640.282
CNT_CHILDREN0.0590.0260.0230.0470.0000.000-0.0050.0300.000-0.041-0.005-0.005-0.0050.0050.0050.0071.0000.8070.017-0.002-0.002-0.0010.357-0.159-0.015-0.0020.1680.0030.0040.0050.0030.0040.000-0.002-0.002-0.002-0.134-0.014-0.0440.0000.0000.0000.0180.0000.0000.0240.0000.0140.0000.0000.0430.0000.0390.0000.0010.0160.0090.0080.0080.0110.0110.0140.0000.0060.0000.0010.0010.0030.0240.004-0.001-0.002-0.0020.0080.0070.0070.0000.0090.0270.0000.0190.0050.0000.0010.001-0.007-0.006-0.0040.0210.0210.0470.000-0.0160.0120.0030.0000.0190.0000.0000.0000.0050.0000.0040.0230.0240.0230.0240.0240.022
CNT_FAM_MEMBERS0.1270.1050.1070.0440.0000.000-0.0000.0200.000-0.0230.0030.0030.0040.0130.0120.0140.8071.0000.0410.0080.0070.0080.257-0.179-0.011-0.0350.150-0.003-0.0010.0160.0150.0160.0000.0080.0080.008-0.0720.007-0.0280.0000.0000.0000.0420.0000.0000.0840.0000.0360.0000.0200.1360.0000.0870.0000.0190.0300.0200.0200.0200.0170.0190.0200.000-0.0070.0000.0060.0050.0060.0500.0090.0070.0060.0070.0190.0190.0180.0000.0180.0900.0000.0560.0110.0060.0080.0100.0010.0030.0030.0290.0290.045-0.006-0.0110.0160.0090.0010.0440.0050.000-0.0030.0160.0000.0000.0340.0350.0340.0380.0390.037
CODE_GENDER0.0810.0370.0460.0400.0000.0090.0070.0370.0120.0220.0090.0130.0130.0040.0040.0000.0170.0411.0000.0140.0150.0140.1750.1600.0490.0390.0950.0000.0000.0000.0000.0000.0000.0000.0000.0000.2920.0310.0360.0000.0000.0020.1130.0020.0000.1010.0000.2570.0080.0230.1600.0000.3280.0240.0250.0300.0090.0090.0100.0000.0000.0000.0070.0100.0030.0210.0110.0140.1290.1000.0000.0000.0220.0180.0190.0170.0110.0490.1580.0800.1700.0550.0110.0130.0000.0000.0070.0000.0000.0000.5660.0970.0130.0090.0080.0500.1350.0260.0980.0000.0000.0050.0070.0000.0020.0040.0130.0160.005
COMMONAREA_AVG0.0440.0270.0290.0730.0000.000-0.011-0.0070.0000.0120.5800.5760.5520.4700.4660.440-0.0020.0080.0141.0000.9940.962-0.0020.001-0.006-0.0110.017-0.010-0.0120.4750.4730.4680.0150.3330.3270.3000.0180.0470.0030.0000.0000.0200.0380.0000.0210.0261.0000.0350.0790.0180.0240.0000.0070.0280.0290.0000.4880.4880.4880.3480.3460.3370.0240.0180.0000.3030.2990.2810.0290.0660.5810.5780.5630.5790.5750.5530.0200.0190.0080.0000.0250.0430.2430.2380.2250.1760.1730.165-0.023-0.0240.020-0.0540.0660.1170.1170.0160.0370.0400.070-0.0020.6160.0820.0000.3500.3480.3470.3490.3480.349
COMMONAREA_MEDI0.0400.0240.0260.0680.0000.000-0.012-0.0100.0000.0120.5740.5760.5540.4660.4660.444-0.0020.0070.0150.9941.0000.971-0.0010.001-0.006-0.0100.020-0.010-0.0100.4660.4700.4660.0150.3320.3300.3050.0150.0450.0010.0000.0000.0210.0360.0000.0000.0221.0000.0300.0810.0200.0230.0000.0040.0270.0250.0000.4800.4830.4830.3430.3430.3340.0220.0160.0000.3060.3040.2900.0280.0660.5750.5770.5650.5730.5750.5550.0200.0190.0080.0000.0250.0380.2380.2410.2300.1700.1730.170-0.021-0.0210.021-0.0520.0600.1140.1150.0150.0380.0320.068-0.0030.6120.0790.0000.3490.3480.3480.3490.3490.350
COMMONAREA_MODE0.0320.0160.0170.0570.0000.000-0.011-0.0060.0000.0140.5490.5550.5600.4520.4550.464-0.0010.0080.0140.9620.9711.000-0.0040.000-0.004-0.0100.016-0.007-0.0060.4300.4410.4510.0120.3340.3340.3300.0100.033-0.0030.0000.0000.0240.0360.0000.0000.0221.0000.0290.0840.0170.0240.0000.0000.0260.0180.0000.4480.4540.4650.3230.3240.3300.0220.0070.0000.3140.3140.3230.0250.0630.5500.5560.5720.5480.5540.5650.0210.0160.0000.0000.0210.0390.2120.2270.2430.1400.1570.186-0.018-0.0180.023-0.0520.0410.0970.0990.0150.0340.0330.067-0.0060.5940.0780.0000.3320.3310.3410.3310.3320.344
DAYS_BIRTH0.053-0.051-0.0450.0730.0000.0000.0130.0870.013-0.087-0.001-0.001-0.000-0.014-0.013-0.0110.3570.2570.175-0.002-0.001-0.0041.000-0.2460.2500.0980.2810.0090.009-0.000-0.0000.0020.000-0.012-0.012-0.010-0.523-0.122-0.1800.0100.0460.0430.2390.0000.0100.4850.0000.1290.0300.1190.7720.0040.1610.1130.0420.210-0.001-0.0010.002-0.012-0.011-0.0090.0140.0860.0100.0000.000-0.0010.1880.084-0.009-0.010-0.011-0.003-0.002-0.0040.0190.1240.1900.1190.3160.023-0.006-0.006-0.005-0.009-0.008-0.0080.0170.0160.070-0.004-0.0340.0240.0200.1840.2540.0690.1060.002-0.0090.0130.0130.0350.0350.0340.0340.0350.033
DAYS_EMPLOYED-0.125-0.130-0.133-0.1780.0010.011-0.0100.0030.0120.019-0.010-0.009-0.0070.0010.0020.003-0.159-0.1790.1600.0010.0010.000-0.2461.000-0.1200.142-0.0380.0240.024-0.004-0.002-0.0030.000-0.002-0.0010.002-0.027-0.0700.0030.0000.0150.0180.2970.0000.0100.5840.0000.1270.0280.0851.0000.0000.1590.0740.0000.246-0.013-0.012-0.012-0.006-0.005-0.0060.011-0.0420.000-0.007-0.007-0.0050.2230.101-0.001-0.000-0.000-0.014-0.012-0.0100.0000.1390.2290.1071.0000.0470.0120.0140.0090.0000.0010.0010.0120.0121.0000.0570.0010.0280.0330.0950.2610.0450.117-0.002-0.0130.0000.024-0.006-0.005-0.0050.0090.0090.010
DAYS_ID_PUBLISH0.0550.0210.0210.0390.0000.0060.0080.0250.007-0.048-0.003-0.003-0.003-0.024-0.022-0.023-0.015-0.0110.049-0.006-0.006-0.0040.250-0.1201.0000.0880.102-0.0010.004-0.005-0.003-0.0030.025-0.021-0.022-0.020-0.098-0.052-0.1190.0040.0170.0200.0890.0000.0000.1900.0000.0390.0320.0500.3050.0000.0310.0450.0300.084-0.009-0.008-0.008-0.022-0.022-0.0180.0160.0450.012-0.033-0.033-0.0320.0660.037-0.004-0.004-0.002-0.015-0.015-0.0150.0040.0470.0640.0430.1250.009-0.012-0.013-0.010-0.005-0.005-0.008-0.012-0.0130.026-0.019-0.0150.0220.0160.0800.1040.0430.057-0.001-0.0180.0080.006-0.020-0.020-0.021-0.018-0.017-0.017
DAYS_LAST_PHONE_CHANGE-0.035-0.092-0.097-0.0640.0000.0140.0110.0580.000-0.109-0.013-0.012-0.011-0.013-0.011-0.008-0.002-0.0350.039-0.011-0.010-0.0100.0980.1420.0881.0000.0730.0080.011-0.020-0.019-0.0210.003-0.008-0.007-0.004-0.129-0.218-0.0630.0060.0340.0230.0480.0000.0200.0410.0000.0350.0220.0180.0610.0000.0440.0720.0900.076-0.023-0.023-0.024-0.023-0.022-0.0240.000-0.0110.0000.0100.0100.0110.0290.034-0.005-0.004-0.002-0.019-0.018-0.0180.0250.0310.0420.0260.0300.016-0.003-0.003-0.004-0.0010.000-0.002-0.025-0.0260.027-0.001-0.0420.0530.0420.0690.0590.0500.043-0.006-0.0220.0130.010-0.004-0.003-0.0020.0070.0070.008
DAYS_REGISTRATION0.0670.0350.0370.0750.0000.0000.0040.0410.000-0.0330.0060.0060.004-0.032-0.030-0.0290.1680.1500.0950.0170.0200.0160.281-0.0380.1020.0731.0000.0050.0080.0140.0150.0190.024-0.078-0.076-0.072-0.134-0.071-0.1070.0000.0000.0000.0630.0000.0000.1610.0000.0600.0050.0440.2650.0000.0920.0530.0880.0830.0350.0350.0360.0080.0090.0090.018-0.0100.021-0.012-0.012-0.0110.0840.0340.0050.0050.002-0.005-0.004-0.0040.0110.0530.0670.0470.1080.0130.0490.0510.0490.0530.0560.0510.0110.0110.029-0.028-0.0340.0640.0470.0850.1170.0330.0440.0010.0020.0480.0070.1360.1360.1340.1450.1440.142
DEF_30_CNT_SOCIAL_CIRCLE-0.021-0.020-0.020-0.0370.0000.000-0.0020.0100.0000.021-0.020-0.020-0.018-0.015-0.015-0.0110.003-0.0030.000-0.010-0.010-0.0070.0090.024-0.0010.0080.0051.0000.851-0.021-0.019-0.0190.000-0.009-0.008-0.006-0.036-0.028-0.0450.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0040.0000.0000.0000.0000.002-0.023-0.022-0.022-0.015-0.015-0.0140.017-0.0130.0000.0100.0090.0120.0030.000-0.026-0.025-0.023-0.024-0.023-0.0190.0000.0000.0000.0000.0000.013-0.007-0.005-0.002-0.0010.0020.0040.3780.3800.0000.0170.0200.0110.0120.0000.0000.0000.000-0.008-0.0200.0000.000-0.010-0.009-0.010-0.012-0.012-0.011
DEF_60_CNT_SOCIAL_CIRCLE-0.025-0.024-0.023-0.0440.0000.000-0.0020.0100.0000.018-0.017-0.017-0.015-0.010-0.010-0.0060.004-0.0010.000-0.012-0.010-0.0060.0090.0240.0040.0110.0080.8511.000-0.023-0.021-0.0210.000-0.004-0.003-0.001-0.041-0.029-0.0480.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0080.0000.0070.0030.0050.003-0.025-0.024-0.023-0.014-0.014-0.0130.015-0.0070.0000.0140.0140.0190.0000.007-0.019-0.018-0.017-0.022-0.021-0.0170.0000.0000.0000.0100.0000.008-0.004-0.0030.001-0.007-0.0040.0010.3060.3070.0000.0230.0170.0150.0110.0030.0000.0000.007-0.005-0.0160.0000.005-0.010-0.010-0.009-0.014-0.014-0.013
ELEVATORS_AVG0.1150.0970.1020.1480.0000.019-0.010-0.0090.000-0.0160.7140.7040.6550.4410.4340.3820.0050.0160.0000.4750.4660.430-0.000-0.004-0.005-0.0200.014-0.021-0.0231.0000.9900.9680.0520.1830.1770.1370.0720.1340.0120.0000.0000.0000.0610.0000.0110.0001.0000.0550.0510.0460.0000.0000.0380.0170.0780.0000.8550.8470.8260.5860.5780.5520.0620.0880.0520.2390.2340.2020.0570.0370.7120.7030.6600.7450.7350.6800.0000.0520.0180.0090.0390.0120.2440.2310.2050.2300.2170.183-0.037-0.0370.034-0.1090.1950.1870.1840.0560.0830.0440.026-0.0010.7300.1460.0000.4940.4910.4800.4880.4860.477
ELEVATORS_MEDI0.1110.0940.0990.1440.0000.018-0.008-0.0100.000-0.0170.7100.7070.6610.4360.4330.3880.0030.0150.0000.4730.4700.441-0.000-0.002-0.003-0.0190.015-0.019-0.0210.9901.0000.9780.0510.1790.1760.1390.0690.1300.0120.0000.0000.0000.0610.0000.0140.0001.0000.0550.0530.0460.0000.0000.0390.0190.0770.0000.8500.8520.8310.5840.5830.5580.0620.0860.0510.2410.2380.2140.0560.0360.7070.7050.6670.7390.7380.6890.0000.0520.0190.0080.0390.0120.2330.2330.2110.2210.2200.193-0.036-0.0350.034-0.1090.1880.1830.1810.0550.0810.0440.025-0.0010.7260.1460.0020.4980.4970.4870.4920.4920.486
ELEVATORS_MODE0.1070.0910.0960.1390.0100.006-0.007-0.0100.000-0.0170.6970.6960.6780.4270.4240.4040.0040.0160.0000.4680.4660.4510.002-0.003-0.003-0.0210.019-0.019-0.0210.9680.9781.0000.0490.1720.1690.1570.0640.1250.0100.0000.0000.0000.0560.0000.0000.0001.0000.0540.0430.0450.0000.0000.0330.0160.0730.0000.8350.8360.8390.5710.5700.5590.0590.0820.0490.2440.2420.2310.0540.0310.6900.6900.6750.7260.7260.7040.0040.0520.0180.0010.0360.0110.2210.2230.2190.2060.2100.207-0.034-0.0340.034-0.1040.1790.1660.1640.0530.0760.0430.020-0.0030.7160.1440.0110.4940.4930.4960.4850.4840.489
EMERGENCYSTATE_MODE0.0100.0070.0100.0000.0120.0000.0000.0000.0000.0120.0820.0810.0800.0510.0510.0480.0000.0000.0000.0150.0150.0120.0000.0000.0250.0030.0240.0000.0000.0520.0510.0491.0000.1140.1140.1110.0000.0110.0000.0000.0000.0000.0100.0000.0000.0041.0000.0000.0000.0090.0000.0000.0030.0180.0160.0000.2280.2280.2340.1100.1100.1070.1430.0200.0340.0470.0450.0460.0000.0000.0560.0580.0590.0810.0810.0780.0000.0220.0000.0250.0130.0200.0000.0000.0000.0100.0100.0110.0000.0000.0090.0310.0470.0310.0280.0280.0130.0060.0000.0110.0760.3040.0120.0000.0000.0000.1710.1730.158
ENTRANCES_AVG0.0200.0170.0210.0340.0000.012-0.0000.0040.000-0.0000.5580.5570.5540.6570.6550.640-0.0020.0080.0000.3330.3320.334-0.012-0.002-0.021-0.008-0.078-0.009-0.0040.1830.1790.1720.1141.0000.9930.9570.0280.0400.0100.0000.0000.0000.0260.0000.0000.0001.0000.0150.0200.0260.0000.0520.0230.0340.0540.0130.1680.1690.1760.0800.0790.0850.0520.0170.1040.4040.4030.3930.0270.0190.5340.5340.5330.6050.6030.6000.0000.0160.0090.0180.0090.0170.1220.1230.1280.1080.1080.116-0.013-0.0120.016-0.0260.0430.0460.0450.0400.0410.0000.016-0.0050.5840.1380.0000.1140.1130.1200.0760.0760.083
ENTRANCES_MEDI0.0170.0150.0190.0310.0000.013-0.0000.0030.000-0.0020.5500.5550.5560.6500.6560.642-0.0020.0080.0000.3270.3300.334-0.012-0.001-0.022-0.007-0.076-0.008-0.0030.1770.1760.1690.1140.9931.0000.9650.0260.0380.0100.0000.0000.0000.0250.0000.0000.0001.0000.0130.0190.0260.0000.0520.0250.0340.0550.0140.1620.1630.1710.0750.0740.0820.0510.0160.1040.4030.4040.3970.0260.0190.5240.5300.5310.5970.6020.6000.0000.0160.0090.0190.0110.0170.1140.1200.1270.1030.1070.118-0.014-0.0130.016-0.0260.0410.0440.0430.0390.0410.0000.016-0.0040.5770.1360.0000.1100.1090.1180.0730.0720.081
ENTRANCES_MODE0.0090.0080.0110.0170.0000.015-0.0020.0050.0000.0010.5100.5170.5570.6150.6220.646-0.0020.0080.0000.3000.3050.330-0.0100.002-0.020-0.004-0.072-0.006-0.0010.1370.1390.1570.1110.9570.9651.0000.0210.0250.0090.0000.0000.0000.0210.0000.0000.0001.0000.0080.0150.0260.0000.0520.0220.0360.0490.0120.1260.1290.1550.0480.0480.0680.0470.0070.0990.3960.3990.4150.0240.0210.4770.4840.5190.5560.5630.5970.0000.0090.0080.0170.0080.0170.0910.1010.1340.0760.0870.128-0.011-0.0110.014-0.0190.0250.0300.0290.0350.0360.0000.018-0.0070.5440.1350.0000.0910.0910.1140.0470.0470.068
EXT_SOURCE_10.0850.1670.1700.0800.0420.016-0.012-0.0570.0370.0170.0440.0420.0350.0420.0400.032-0.134-0.0720.2920.0180.0150.010-0.523-0.027-0.098-0.129-0.134-0.036-0.0410.0720.0690.0640.0000.0280.0260.0211.0000.2070.1460.0000.0090.0080.0720.0000.0080.1670.0000.0520.0110.0430.2661.0000.0450.0530.0860.0670.0710.0700.0650.0640.0610.0570.0200.0340.007-0.019-0.020-0.0220.1100.0200.0550.0530.0480.0630.0590.0540.0100.0670.0890.0730.1130.0070.0430.0380.0370.0400.0370.029-0.025-0.0240.085-0.1140.0690.0860.0670.1330.1690.0300.0340.0020.0630.0000.0110.0130.0120.0100.0080.0070.006
EXT_SOURCE_20.1140.1210.1270.1730.0150.010-0.011-0.0360.000-0.0060.1010.0990.0890.0570.0550.037-0.0140.0070.0310.0470.0450.033-0.122-0.070-0.052-0.218-0.071-0.028-0.0290.1340.1300.1250.0110.0400.0380.0250.2071.0000.1000.0060.0120.0060.0380.0000.0120.0210.0000.0480.0200.0180.0321.0000.0410.0100.0840.0200.1330.1300.1240.1110.1080.1000.0190.1640.026-0.012-0.014-0.0220.0670.0680.0970.0950.0830.1130.1110.1000.0040.0590.0330.0320.0410.0050.0240.0200.0090.0500.0450.032-0.023-0.0230.046-0.1270.2020.2690.2140.0420.0850.0380.0690.0040.1070.0300.0030.0170.0160.0150.0160.0150.012
EXT_SOURCE_3-0.0090.0070.009-0.1000.0000.007-0.025-0.0980.0160.0070.0150.0150.0130.0140.0140.010-0.044-0.0280.0360.0030.001-0.003-0.1800.003-0.119-0.063-0.107-0.045-0.0480.0120.0120.0100.0000.0100.0100.0090.1460.1001.0000.0100.0100.0000.0380.0000.0150.0660.0080.0160.0150.0320.1030.0090.0200.0460.0000.0740.0200.0190.0190.0140.0150.0140.000-0.0320.0160.0170.0160.0140.0380.0220.0080.0090.0050.0220.0200.0200.0100.0320.0250.0260.0510.0170.001-0.000-0.003-0.002-0.004-0.004-0.009-0.0090.0170.0350.0090.0220.0180.0710.0710.0420.0390.0090.0200.0000.0010.0110.0100.0100.0110.0100.010
FLAG_CONT_MOBILE0.0450.0350.0250.0000.0000.0090.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0040.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0101.0000.0000.0000.0710.0000.0000.0110.1200.0110.0000.0000.0000.0000.0050.0000.0080.0190.0080.0070.0090.0000.0000.0000.0000.0110.0000.0000.0000.0010.0070.0000.0000.0000.0000.0000.0000.0000.4060.0140.0000.0000.0050.0420.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0040.0000.0000.0090.0000.0000.0000.0000.0060.0060.0000.0000.0000.0000.0000.000
FLAG_DOCUMENT_110.0250.0240.0950.0000.0540.0000.0000.0140.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0460.0150.0170.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0120.0100.0001.0000.0000.0650.0000.0000.0080.0000.0080.0000.0120.0150.0000.0000.0100.0000.0670.0110.0140.0250.0220.0230.0230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0700.0150.0340.0120.0480.0110.0000.0000.0000.0290.0300.0280.0000.0000.0220.0160.0120.0070.0030.0380.0210.0720.0400.0070.0000.0000.0120.0000.0000.0000.0000.0000.000
FLAG_DOCUMENT_180.0090.0130.0200.0000.0000.0000.0000.0210.0070.0000.0170.0160.0220.0000.0000.0000.0000.0000.0020.0200.0210.0240.0430.0180.0200.0230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0060.0000.0000.0001.0000.0750.0000.0000.0100.0000.0100.0000.0130.0180.0000.0060.0150.0230.0770.0150.0140.0140.0140.0150.0170.0000.0040.0000.0000.0000.0000.0070.0000.0740.0350.0290.0110.0080.0070.0150.0180.0260.0000.0570.0140.0000.0000.0000.0000.0000.0000.0000.0000.0240.0060.0340.0150.0150.0260.0250.0310.0210.0000.0000.0000.0120.0370.0390.0130.0000.0000.000
FLAG_DOCUMENT_30.0440.0270.0230.0400.0060.0000.0110.0210.0040.0160.0390.0380.0350.0240.0230.0190.0180.0420.1130.0380.0360.0360.2390.2970.0890.0480.0630.0000.0000.0610.0610.0560.0100.0260.0250.0210.0720.0380.0380.0710.0650.0751.0000.0160.2350.5940.0070.5980.1290.0060.2960.0000.0830.0410.0300.0470.0760.0750.0720.0650.0640.0600.0000.0200.0180.0000.0000.0000.0510.0160.0450.0440.0410.0460.0490.0450.1800.0390.0550.0240.3030.0270.0130.0140.0000.0000.0000.0130.0000.0000.1740.0580.1210.1090.1050.0150.0640.0230.0180.0000.0500.0320.0120.0040.0000.0000.0290.0260.025
FLAG_DOCUMENT_40.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0161.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0090.0120.0140.0160.0170.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0301.0000.0090.0070.0040.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.000
FLAG_DOCUMENT_50.0110.0170.0090.0000.0000.0030.0390.0400.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0100.0100.0000.0200.0000.0000.0000.0110.0140.0000.0000.0000.0000.0000.0080.0120.0150.0000.0000.0000.2350.0001.0000.0370.0000.0380.0050.0060.0100.0000.0120.0000.0420.0240.0380.0370.0320.0350.0370.0280.0150.0270.0050.0000.0000.0000.0000.0100.0000.0100.0090.0000.0000.0000.0000.0120.0140.0080.0100.0000.0000.0000.0090.0110.0110.0110.0000.0000.0100.0460.0470.0340.0330.0000.0000.0100.0120.0000.0130.0100.0000.0000.0000.0000.0000.0000.000
FLAG_DOCUMENT_60.0850.0520.0650.0160.0150.0010.0000.0290.0000.0480.0100.0120.0150.0000.0000.0000.0240.0840.1010.0260.0220.0220.4850.5840.1900.0410.1610.0080.0150.0000.0000.0000.0040.0000.0000.0000.1670.0210.0660.0110.0080.0100.5940.0000.0371.0000.0000.0960.0200.0520.5840.0000.1030.0710.0070.1430.0000.0000.0080.0000.0000.0000.0000.0640.0000.0060.0050.0000.1310.0590.0040.0000.0110.0000.0080.0060.0280.0870.1450.0670.5840.0260.0280.0250.0230.0000.0000.0000.0000.0000.0310.0650.0390.0320.0290.0570.1560.0270.0700.0000.0000.0120.0140.0000.0030.0000.0110.0000.012
FLAG_DOCUMENT_70.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.0001.0000.0000.0000.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.0080.1200.0000.0000.0070.0000.0000.0001.0000.0000.0000.0000.0000.0000.0030.0000.0000.0001.0001.0001.0001.0001.0001.0001.0000.0001.0001.0001.0001.0000.0000.0001.0001.0001.0001.0001.0001.0000.0500.0000.0130.0000.0000.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0110.0040.0000.0000.0000.0000.0000.0001.0001.0000.0001.0001.0001.0001.0001.0001.000
FLAG_DOCUMENT_80.1260.0730.0790.0700.0000.0000.0000.0170.0000.0250.0390.0370.0350.0220.0210.0080.0140.0360.2570.0350.0300.0290.1290.1270.0390.0350.0600.0000.0000.0550.0550.0540.0000.0150.0130.0080.0520.0480.0160.0110.0080.0100.5980.0000.0380.0960.0001.0000.0200.0350.1270.0000.2310.0240.0160.0340.0700.0690.0690.0560.0530.0530.0000.0300.0170.0040.0120.0000.0570.0690.0460.0430.0380.0470.0460.0420.0270.0840.0600.0300.1360.0260.0280.0240.0000.0000.0000.0080.0000.0000.2120.0760.1130.1140.1140.0130.0520.0200.0650.0000.0440.0360.0130.0000.0000.0000.0480.0440.042
FLAG_DOCUMENT_90.0390.0270.0320.0400.0020.0000.0000.0000.0000.0000.0250.0270.0240.0300.0300.0310.0000.0000.0080.0790.0810.0840.0300.0280.0320.0220.0050.0000.0000.0510.0530.0430.0000.0200.0190.0150.0110.0200.0150.0000.0000.0000.1290.0000.0050.0200.0000.0201.0000.0080.0280.0000.0070.0000.0140.0170.0570.0530.0530.0330.0330.0330.0060.0210.0050.0070.0110.0170.0000.0230.0440.0430.0320.0270.0240.0270.0020.0390.0120.0080.0340.0000.0000.0000.0000.0320.0280.0300.0000.0000.0290.0190.0510.0590.0560.0030.0000.0230.0280.0000.0280.0300.0070.0000.0000.0000.0040.0030.010
FLAG_EMAIL0.0740.0660.0510.0430.0070.0040.0120.0220.0000.0000.0440.0430.0410.0280.0280.0240.0000.0200.0230.0180.0200.0170.1190.0850.0500.0180.0440.0000.0000.0460.0460.0450.0090.0260.0260.0260.0430.0180.0320.0000.0120.0130.0060.0000.0060.0520.0000.0350.0081.0000.0850.0000.0430.0870.0270.1270.0510.0490.0480.0220.0250.0230.0190.0290.0150.0260.0210.0170.0270.0190.0330.0350.0360.0460.0450.0430.0200.1080.0520.0270.1110.0180.0000.0000.0000.0020.0000.0000.0000.0000.0870.0290.0550.0680.0610.0110.0140.0000.0180.0130.0480.0320.0080.0040.0080.0100.0240.0250.021
FLAG_EMP_PHONE0.1360.0860.0970.0370.0010.0110.0080.0470.0120.0680.0000.0000.0000.0000.0000.0000.0430.1360.1600.0240.0230.0240.7721.0000.3050.0610.2650.0040.0080.0000.0000.0000.0000.0000.0000.0000.2660.0320.1030.0000.0150.0180.2960.0000.0100.5840.0000.1270.0280.0851.0000.0000.1590.0740.0000.2460.0080.0080.0120.0000.0000.0000.0110.0880.0000.0000.0000.0000.2230.1010.0090.0000.0000.0000.0000.0000.0000.1390.2290.1071.0000.0470.0140.0100.0180.0140.0090.0000.0000.0001.0000.0770.0450.0280.0330.0950.2610.0450.1170.0020.0080.0000.0240.0000.0000.0000.0240.0230.026
FLAG_MOBIL0.0130.0290.0290.0000.0000.0000.0000.0000.0000.0000.0030.0040.0070.0230.0230.0230.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0520.0521.0001.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.0320.0330.0000.0000.0000.0000.0000.0100.0100.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0090.0000.0000.0000.0000.0040.0100.0000.0000.0000.0000.0000.0000.0000.000
FLAG_OWN_CAR0.1560.1240.1260.0690.0050.0000.0000.0170.0040.0340.0230.0240.0210.0000.0000.0000.0390.0870.3280.0070.0040.0000.1610.1590.0310.0440.0920.0000.0070.0380.0390.0330.0030.0230.0250.0220.0450.0410.0200.0050.0000.0060.0830.0020.0120.1030.0030.2310.0070.0430.1590.0001.0000.0000.0000.0200.0420.0400.0400.0340.0340.0350.0000.0150.0190.0070.0050.0000.0910.0470.0250.0240.0230.0350.0340.0340.0040.0940.1720.0360.1600.0360.0190.0190.0120.0000.0000.0050.0000.0000.2601.0000.0310.0150.0150.0000.0750.0050.0360.0090.0300.0270.0060.0010.0040.0000.0480.0480.049
FLAG_OWN_REALTY0.0240.0230.0370.0000.0070.0000.0090.0170.0000.0460.0290.0310.0330.0120.0160.0200.0000.0000.0240.0280.0270.0260.1130.0740.0450.0720.0530.0000.0030.0170.0190.0160.0180.0340.0340.0360.0530.0100.0460.0000.0100.0150.0410.0000.0000.0710.0000.0240.0000.0870.0740.0000.0001.0000.0930.2300.0510.0520.0510.0500.0510.0510.0180.1330.0190.0280.0240.0240.0570.0240.0120.0100.0200.0280.0300.0340.0280.0160.0330.1940.0890.0920.0000.0000.0000.0000.0060.0000.0000.0000.0000.0610.0580.0220.0270.0610.0760.0470.0400.0170.0270.0440.0790.0080.0080.0110.0210.0140.000
FLAG_PHONE0.0260.0390.0370.0180.0100.0000.0000.0200.0000.0080.0600.0580.0510.0580.0550.0480.0010.0190.0250.0290.0250.0180.0420.0000.0300.0900.0880.0000.0050.0780.0770.0730.0160.0540.0550.0490.0860.0840.0000.0080.0000.0230.0300.0000.0420.0070.0000.0160.0140.0270.0000.0000.0000.0931.0000.2650.0840.0810.0760.0720.0720.0710.0250.0740.0320.0150.0180.0180.0320.0120.0530.0550.0470.0710.0690.0630.0110.0390.0240.0390.0160.0260.0100.0110.0160.0000.0080.0030.0000.0000.0600.0720.1420.1290.1230.0600.0580.0080.0060.0000.0680.0400.0380.0000.0050.0040.0440.0370.035
FLAG_WORK_PHONE0.0580.0690.0360.0140.0030.0060.0150.0000.0000.0560.0230.0240.0210.0000.0000.0000.0160.0300.0300.0000.0000.0000.2100.2460.0840.0760.0830.0020.0030.0000.0000.0000.0000.0130.0140.0120.0670.0200.0740.0190.0670.0770.0470.0000.0240.1430.0000.0340.0170.1270.2460.0000.0200.2300.2651.0000.0390.0380.0340.0370.0380.0370.0230.0940.0040.0000.0020.0000.1080.0560.0260.0220.0230.0070.0100.0000.0170.0390.0630.0310.2550.0590.0130.0180.0110.0000.0000.0010.0000.0000.0400.0790.0400.0070.0000.0610.1230.0790.0870.0000.0200.0300.0670.0000.0000.0000.0180.0160.019
FLOORSMAX_AVG0.1150.0980.1040.1530.0080.042-0.006-0.0070.005-0.0130.7480.7420.7080.4190.4130.3710.0090.0200.0090.4880.4800.448-0.001-0.013-0.009-0.0230.035-0.023-0.0250.8550.8500.8350.2280.1680.1620.1260.0710.1330.0200.0080.0110.0150.0760.0090.0380.0001.0000.0700.0570.0510.0080.0000.0420.0510.0840.0391.0000.9940.9790.6660.6590.6310.1010.0860.1060.2470.2420.2160.1140.0650.7180.7120.6790.7760.7710.7340.0230.0710.0120.0260.0440.0150.2590.2470.2200.2470.2350.198-0.030-0.0300.042-0.1170.2030.2480.2450.1100.1510.0240.057-0.0030.7710.2700.0000.5810.5780.5690.5710.5680.560
FLOORSMAX_MEDI0.1130.0960.1030.1510.0070.045-0.005-0.0080.014-0.0130.7470.7440.7120.4190.4140.3760.0080.0200.0090.4880.4830.454-0.001-0.012-0.008-0.0230.035-0.022-0.0240.8470.8520.8360.2280.1690.1630.1290.0700.1300.0190.0070.0140.0140.0750.0120.0370.0001.0000.0690.0530.0490.0080.0000.0400.0520.0810.0380.9941.0000.9850.6630.6620.6350.1020.0840.1060.2500.2460.2230.1130.0660.7170.7140.6830.7740.7730.7380.0220.0710.0130.0270.0440.0140.2530.2460.2230.2430.2360.203-0.029-0.0290.043-0.1140.1980.2420.2390.1100.1500.0250.058-0.0020.7710.2740.0000.5840.5840.5740.5730.5730.566
FLOORSMAX_MODE0.1080.0930.0990.1440.0070.048-0.005-0.0070.022-0.0140.7420.7400.7270.4220.4170.3940.0080.0200.0100.4880.4830.4650.002-0.012-0.008-0.0240.036-0.022-0.0230.8260.8310.8390.2340.1760.1710.1550.0650.1240.0190.0090.0250.0140.0720.0140.0320.0081.0000.0690.0530.0480.0120.0000.0400.0510.0760.0340.9790.9851.0000.6490.6490.6380.0980.0800.1080.2590.2550.2430.1070.0640.7110.7090.6920.7680.7680.7520.0240.0700.0140.0260.0420.0140.2440.2390.2290.2310.2250.212-0.028-0.0280.042-0.1060.1880.2310.2290.1080.1440.0250.056-0.0030.7690.2730.0000.5800.5790.5840.5650.5650.568
FLOORSMIN_AVG0.0850.0680.0700.1080.0260.019-0.009-0.0270.0000.0010.4890.4850.4530.2800.2740.2450.0110.0170.0000.3480.3430.323-0.012-0.006-0.022-0.0230.008-0.015-0.0140.5860.5840.5710.1100.0800.0750.0480.0640.1110.0140.0000.0220.0140.0650.0160.0350.0001.0000.0560.0330.0220.0000.0000.0340.0500.0720.0370.6660.6630.6491.0000.9960.9800.0580.0820.0540.1610.1580.1410.0800.0600.5010.4960.4730.5260.5220.4890.0270.0550.0070.0180.0560.0000.1820.1740.1580.1390.1300.109-0.031-0.0320.044-0.0980.1930.2180.2140.0760.1040.0200.0510.0010.5090.1800.0110.3560.3540.3460.3590.3580.353
FLOORSMIN_MEDI0.0830.0660.0680.1050.0240.020-0.010-0.0290.0000.0010.4850.4830.4520.2770.2730.2460.0110.0190.0000.3460.3430.324-0.011-0.005-0.022-0.0220.009-0.015-0.0140.5780.5830.5700.1100.0790.0740.0480.0610.1080.0150.0000.0230.0150.0640.0170.0370.0001.0000.0530.0330.0250.0000.0000.0340.0510.0720.0380.6590.6620.6490.9961.0000.9840.0610.0810.0540.1620.1600.1450.0800.0610.4970.4950.4730.5210.5200.4890.0270.0540.0120.0190.0550.0000.1780.1730.1590.1350.1300.111-0.031-0.0310.045-0.0960.1870.2170.2140.0760.1030.0120.0530.0020.5050.1820.0130.3560.3550.3480.3600.3600.355
FLOORSMIN_MODE0.0770.0600.0610.0970.0240.025-0.008-0.0270.0000.0010.4710.4710.4550.2710.2680.2560.0140.0200.0000.3370.3340.330-0.009-0.006-0.018-0.0240.009-0.014-0.0130.5520.5580.5590.1070.0850.0820.0680.0570.1000.0140.0000.0230.0170.0600.0190.0280.0001.0000.0530.0330.0230.0000.0000.0350.0510.0710.0370.6310.6350.6380.9800.9841.0000.0660.0720.0530.1680.1670.1620.0770.0700.4810.4810.4730.5060.5070.4900.0280.0530.0100.0180.0540.0000.1650.1610.1650.1180.1160.117-0.029-0.0290.045-0.0910.1750.2060.2040.0740.1000.0160.0630.0000.4920.1810.0160.3420.3420.3430.3460.3450.351
FONDKAPREMONT_MODE0.0100.0000.0060.0070.0000.0160.0000.0000.0000.0050.0460.0470.0390.0420.0430.0360.0000.0000.0070.0240.0220.0220.0140.0110.0160.0000.0180.0170.0150.0620.0620.0590.1430.0520.0510.0470.0200.0190.0000.0000.0000.0000.0000.0000.0150.0001.0000.0000.0060.0190.0110.0000.0000.0180.0250.0230.1010.1020.0980.0580.0610.0661.0000.0250.0820.0380.0320.0290.0360.0000.0470.0470.0430.0470.0470.0450.0000.0220.0120.0360.0160.0000.0200.0190.0150.0370.0370.0300.0260.0260.0210.0000.0770.0500.0610.0240.0490.0200.0000.0130.0480.1160.0150.0310.0330.0390.0770.0780.077
HOUR_APPR_PROCESS_START0.0360.0270.0330.0920.0000.0130.001-0.0000.000-0.0300.0670.0670.0580.0240.0240.0100.006-0.0070.0100.0180.0160.0070.086-0.0420.045-0.011-0.010-0.013-0.0070.0880.0860.0820.0200.0170.0160.0070.0340.164-0.0320.0110.0000.0040.0200.0000.0270.0640.0000.0300.0210.0290.0880.0000.0150.1330.0740.0940.0860.0840.0800.0820.0810.0720.0251.0000.000-0.028-0.029-0.0310.0350.0620.0620.0600.0500.0660.0650.0550.0000.0460.0210.0250.0450.0230.0150.0100.0000.0300.0300.021-0.022-0.0220.023-0.1380.1100.2270.1660.0240.0380.0620.0810.0040.0620.0340.033-0.004-0.005-0.008-0.001-0.001-0.005
HOUSETYPE_MODE0.0070.0060.0070.0000.0000.0000.0000.0000.0000.0220.0500.0510.0500.0330.0330.0330.0000.0000.0030.0000.0000.0000.0100.0000.0120.0000.0210.0000.0000.0520.0510.0490.0340.1040.1040.0990.0070.0260.0160.0000.0000.0000.0180.0000.0050.0001.0000.0170.0050.0150.0000.0000.0190.0190.0320.0040.1060.1060.1080.0540.0540.0530.0820.0001.0000.0220.0210.0200.0200.0120.0630.0590.0660.0490.0470.0450.0130.0290.0000.0040.0040.0130.0000.0060.0000.0230.0260.0180.0000.0000.0250.0000.0330.0290.0230.0180.0240.0110.0130.0050.0460.1210.0000.0000.0000.0000.0870.0910.099
LANDAREA_AVG-0.029-0.031-0.027-0.0350.0200.0310.0060.0030.0000.0060.4170.4170.4180.4000.4010.4020.0010.0060.0210.3030.3060.3140.000-0.007-0.0330.010-0.0120.0100.0140.2390.2410.2440.0470.4040.4030.396-0.019-0.0120.0170.0000.0000.0000.0000.0000.0000.0061.0000.0040.0070.0260.0000.0330.0070.0280.0150.0000.2470.2500.2590.1610.1620.1680.038-0.0280.0221.0000.9960.9690.0320.0060.3760.3780.3800.4410.4420.4420.0280.0000.0090.0240.0000.0160.1220.1250.1340.0870.0930.1080.0140.0140.010-0.020-0.0840.0350.0310.0350.0450.0050.000-0.0100.4280.0880.0000.1930.1930.2000.1770.1770.185
LANDAREA_MEDI-0.032-0.033-0.029-0.0360.0240.0350.0060.0030.0000.0060.4120.4150.4180.3970.4000.4040.0010.0050.0110.2990.3040.3140.000-0.007-0.0330.010-0.0120.0090.0140.2340.2380.2420.0450.4030.4040.399-0.020-0.0140.0160.0000.0000.0000.0000.0000.0000.0051.0000.0120.0110.0210.0000.0320.0050.0240.0180.0020.2420.2460.2550.1580.1600.1670.032-0.0290.0210.9961.0000.9720.0300.0000.3700.3740.3770.4360.4390.4420.0280.0040.0000.0210.0070.0210.1180.1240.1350.0830.0920.1100.0140.0140.000-0.018-0.0850.0360.0310.0350.0450.0040.000-0.0100.4250.0890.0000.1910.1910.1990.1740.1750.184
LANDAREA_MODE-0.037-0.037-0.033-0.0440.0300.0420.0030.0060.0000.0070.3880.3940.4230.3830.3870.4200.0030.0060.0140.2810.2900.323-0.001-0.005-0.0320.011-0.0110.0120.0190.2020.2140.2310.0460.3930.3970.415-0.022-0.0220.0140.0010.0000.0000.0000.0000.0000.0001.0000.0000.0170.0170.0000.0330.0000.0240.0180.0000.2160.2230.2430.1410.1450.1620.029-0.0310.0200.9690.9721.0000.0240.0080.3440.3520.3780.4090.4170.4500.0300.0000.0000.0210.0070.0210.0970.1170.1500.0600.0820.1310.0170.0180.000-0.012-0.0940.0390.0330.0340.0370.0060.000-0.0130.4090.0860.0000.1740.1760.1950.1530.1550.174
LIVE_CITY_NOT_WORK_CITY0.0210.0210.0340.0080.0000.0000.0000.0140.0000.0170.0760.0750.0660.0390.0380.0290.0240.0500.1290.0290.0280.0250.1880.2230.0660.0290.0840.0030.0000.0570.0560.0540.0000.0270.0260.0240.1100.0670.0380.0070.0000.0070.0510.0000.0000.1310.0000.0570.0000.0270.2230.0000.0910.0570.0320.1080.1140.1130.1070.0800.0800.0770.0360.0350.0200.0320.0300.0241.0000.2580.0550.0550.0500.0700.0680.0640.0140.0280.0590.0430.2250.0180.0250.0270.0300.0000.0000.0000.0000.0000.1170.0330.1220.0360.0180.0350.8270.0200.2110.0080.0660.0480.0170.0140.0160.0160.0350.0370.039
LIVE_REGION_NOT_WORK_REGION0.0820.0510.0580.0660.0140.0000.0000.0000.0100.0170.0150.0170.0110.0000.0050.0000.0040.0090.1000.0660.0660.0630.0840.1010.0370.0340.0340.0000.0070.0370.0360.0310.0000.0190.0190.0210.0200.0680.0220.0000.0000.0000.0160.0000.0100.0590.0000.0690.0230.0190.1010.0000.0470.0240.0120.0560.0650.0660.0640.0600.0610.0700.0000.0620.0120.0060.0000.0080.2581.0000.0310.0340.0360.0290.0260.0220.0000.0340.0380.0290.1140.0080.0030.0000.0000.0310.0260.0260.0000.0000.0870.0370.2270.1980.1880.0230.2010.0910.8390.0090.0340.0450.0200.0000.0000.0000.0480.0480.052
LIVINGAPARTMENTS_AVG0.0760.0620.0660.1060.0000.000-0.012-0.0040.000-0.0040.9730.9660.9230.6920.6860.640-0.0010.0070.0000.5810.5750.550-0.009-0.001-0.004-0.0050.005-0.026-0.0190.7120.7070.6900.0560.5340.5240.4770.0550.0970.0080.0000.0000.0740.0450.0000.0000.0041.0000.0460.0440.0330.0090.0000.0250.0120.0530.0260.7180.7170.7110.5010.4970.4810.0470.0620.0630.3760.3700.3440.0550.0311.0000.9950.9660.8960.8890.8490.0000.0310.0000.0120.0290.0110.2540.2490.2330.2240.2170.199-0.035-0.0350.040-0.0830.1590.1400.1490.0560.0810.0300.0270.0000.8720.1230.0120.4020.4000.3970.4030.4020.401
LIVINGAPARTMENTS_MEDI0.0730.0590.0630.1020.0000.000-0.012-0.0070.000-0.0060.9690.9700.9290.6900.6890.647-0.0020.0060.0000.5780.5770.556-0.010-0.000-0.004-0.0040.005-0.025-0.0180.7030.7050.6900.0580.5340.5300.4840.0530.0950.0090.0000.0000.0350.0440.0000.0100.0001.0000.0430.0430.0350.0000.0000.0240.0100.0550.0220.7120.7140.7090.4960.4950.4810.0470.0600.0590.3780.3740.3520.0550.0340.9951.0000.9720.8910.8910.8540.0000.0270.0040.0110.0280.0110.2480.2490.2360.2190.2190.205-0.034-0.0340.039-0.0810.1540.1340.1430.0550.0810.0310.0260.0000.8670.1290.0080.4010.3990.3970.4020.4010.402
LIVINGAPARTMENTS_MODE0.0630.0490.0530.0890.0000.000-0.010-0.0040.000-0.0000.9410.9450.9510.6730.6740.672-0.0020.0070.0220.5630.5650.572-0.011-0.000-0.002-0.0020.002-0.023-0.0170.6600.6670.6750.0590.5330.5310.5190.0480.0830.0050.0000.0000.0290.0410.0000.0090.0111.0000.0380.0320.0360.0000.0000.0230.0200.0470.0230.6790.6830.6920.4730.4730.4730.0430.0500.0660.3800.3770.3780.0500.0360.9660.9721.0000.8630.8670.8690.0000.0300.0100.0080.0210.0110.2260.2350.2500.1930.2020.219-0.031-0.0320.043-0.0740.1350.1140.1250.0490.0740.0240.034-0.0030.8450.1240.0000.3800.3790.3870.3810.3800.393
LIVINGAREA_AVG0.0840.0710.0780.1260.0000.000-0.003-0.0060.000-0.0090.9050.8980.8670.7110.7050.6630.0080.0190.0180.5790.5730.548-0.003-0.014-0.015-0.019-0.005-0.024-0.0220.7450.7390.7260.0810.6050.5970.5560.0630.1130.0220.0000.0000.0110.0460.0000.0000.0001.0000.0470.0270.0460.0000.0100.0350.0280.0710.0070.7760.7740.7680.5260.5210.5060.0470.0660.0490.4410.4360.4090.0700.0290.8960.8910.8631.0000.9950.9610.0000.0510.0140.0050.0230.0090.2610.2540.2380.2130.2060.187-0.026-0.0260.036-0.1030.1810.1340.1420.0590.0970.0170.016-0.0070.9380.1510.0080.4890.4870.4850.4650.4640.464
LIVINGAREA_MEDI0.0810.0690.0750.1240.0000.000-0.002-0.0070.000-0.0110.9000.9020.8730.7070.7070.6690.0070.0190.0190.5750.5750.554-0.002-0.012-0.015-0.018-0.004-0.023-0.0210.7350.7380.7260.0810.6030.6020.5630.0590.1110.0200.0000.0000.0080.0490.0000.0000.0081.0000.0460.0240.0450.0000.0100.0340.0300.0690.0100.7710.7730.7680.5220.5200.5070.0470.0650.0470.4420.4390.4170.0680.0260.8890.8910.8670.9951.0000.9680.0100.0500.0150.0070.0220.0080.2520.2520.2400.2070.2060.192-0.026-0.0250.036-0.1010.1750.1310.1390.0590.0950.0160.012-0.0060.9330.1510.0080.4900.4890.4880.4650.4650.466
LIVINGAREA_MODE0.0700.0610.0670.1070.0000.000-0.001-0.0050.000-0.0100.8690.8740.8920.6880.6900.6970.0070.0180.0170.5530.5550.565-0.004-0.010-0.015-0.018-0.004-0.019-0.0170.6800.6890.7040.0780.6000.6000.5970.0540.1000.0200.0000.0000.0070.0450.0000.0000.0061.0000.0420.0270.0430.0000.0110.0340.0340.0630.0000.7340.7380.7520.4890.4890.4900.0450.0550.0450.4420.4420.4500.0640.0220.8490.8540.8690.9610.9681.0000.0190.0450.0130.0120.0190.0040.2250.2370.2500.1760.1890.213-0.021-0.0200.037-0.0940.1600.1100.1200.0540.0890.0190.014-0.0090.9150.1460.0090.4670.4670.4820.4300.4290.443
NAME_CONTRACT_TYPE0.1120.0950.0720.0000.0000.0100.0000.0150.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0110.0200.0200.0210.0190.0000.0040.0250.0110.0000.0000.0000.0000.0040.0000.0000.0000.0000.0100.0040.0100.4060.0700.0150.1800.0000.0000.0280.0500.0270.0020.0200.0000.0000.0040.0280.0110.0170.0230.0220.0240.0270.0270.0280.0000.0000.0130.0280.0280.0300.0140.0000.0000.0000.0000.0000.0100.0191.0000.0360.0110.0080.0730.0110.0100.0080.0160.0000.0000.0000.0000.0000.0290.0000.0070.0200.0170.0000.0130.0140.0100.0060.0120.0100.0180.0000.0000.0000.0060.0010.003
NAME_EDUCATION_TYPE0.0790.0790.0830.0480.0000.0000.0100.0180.0000.0270.0380.0380.0350.0240.0230.0190.0090.0180.0490.0190.0190.0160.1240.1390.0470.0310.0530.0000.0000.0520.0520.0520.0220.0160.0160.0090.0670.0590.0320.0140.0150.0180.0390.0170.0120.0870.0000.0840.0390.1080.1390.0000.0940.0160.0390.0390.0710.0710.0700.0550.0540.0530.0220.0460.0290.0000.0040.0000.0280.0340.0310.0270.0300.0510.0500.0450.0361.0000.0540.0400.0970.0240.0000.0000.0000.0200.0170.0160.0000.0000.2190.0870.0480.0640.0520.0390.0350.0390.0460.0000.0470.0350.0040.0000.0000.0000.0550.0550.056
NAME_FAMILY_STATUS0.0840.0880.0910.0090.0000.0000.0000.0170.0070.0200.0000.0000.0000.0140.0130.0100.0270.0900.1580.0080.0080.0000.1900.2290.0640.0420.0670.0000.0000.0180.0190.0180.0000.0090.0090.0080.0890.0330.0250.0000.0340.0260.0550.0100.0140.1450.0130.0600.0120.0520.2290.0000.1720.0330.0240.0630.0120.0130.0140.0070.0120.0100.0120.0210.0000.0090.0000.0000.0590.0380.0000.0040.0100.0140.0150.0130.0110.0541.0000.0760.1170.0620.0110.0110.0100.0000.0000.0000.0000.0000.0620.0400.0180.0200.0170.0720.0860.0490.0600.0000.0150.0080.0000.0000.0040.0000.0270.0270.025
NAME_HOUSING_TYPE0.0080.0240.0230.0080.0000.0000.0000.0160.0000.0000.0070.0070.0040.0100.0100.0090.0000.0000.0800.0000.0000.0000.1190.1070.0430.0260.0470.0000.0100.0090.0080.0010.0250.0180.0190.0170.0730.0320.0260.0000.0120.0000.0240.0000.0080.0670.0000.0300.0080.0270.1070.0000.0360.1940.0390.0310.0260.0270.0260.0180.0190.0180.0360.0250.0040.0240.0210.0210.0430.0290.0120.0110.0080.0050.0070.0120.0080.0400.0761.0000.0530.0210.0160.0150.0170.0000.0000.0000.0000.0000.0330.0670.0580.0870.0710.1960.1290.1190.0810.0060.0110.0430.0000.0000.0040.0000.0170.0180.016
NAME_INCOME_TYPE0.0710.0540.0560.0270.0000.0010.0020.0220.0090.0320.0200.0190.0170.0080.0080.0000.0190.0560.1700.0250.0250.0210.3161.0000.1250.0300.1080.0000.0000.0390.0390.0360.0130.0090.0110.0080.1130.0410.0510.0050.0480.0570.3030.0000.0100.5840.0000.1360.0340.1111.0000.0000.1600.0890.0160.2550.0440.0440.0420.0560.0550.0540.0160.0450.0040.0000.0070.0070.2250.1140.0290.0280.0210.0230.0220.0190.0730.0970.1170.0531.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.1990.0460.0820.1260.0970.0960.2620.0690.1350.0030.0240.0200.0110.0000.0000.0000.0280.0270.033
NAME_TYPE_SUITE0.0200.0160.0150.0000.0000.0000.0000.0000.0000.0000.0080.0080.0050.0220.0220.0230.0050.0110.0550.0430.0380.0390.0230.0470.0090.0160.0130.0130.0080.0120.0120.0110.0200.0170.0170.0170.0070.0050.0170.0420.0110.0140.0270.0000.0000.0260.0000.0260.0000.0180.0470.0000.0360.0920.0260.0590.0150.0140.0140.0000.0000.0000.0000.0230.0130.0160.0210.0210.0180.0080.0110.0110.0110.0090.0080.0040.0110.0240.0620.0210.0191.0000.0000.0000.0000.0050.0060.0120.0180.0180.0230.0000.0260.0270.0210.0190.0230.0180.0180.0000.0150.0080.0060.0000.0020.0000.0160.0170.015
NONLIVINGAPARTMENTS_AVG0.0410.0400.0410.0620.0000.000-0.0070.0150.0000.0050.2800.2730.2460.1900.1830.1520.0000.0060.0110.2430.2380.212-0.0060.012-0.012-0.0030.049-0.007-0.0040.2440.2330.2210.0000.1220.1140.0910.0430.0240.0010.0000.0000.0000.0130.0000.0000.0281.0000.0280.0000.0000.0140.0000.0190.0000.0100.0130.2590.2530.2440.1820.1780.1650.0200.0150.0000.1220.1180.0970.0250.0030.2540.2480.2260.2610.2520.2250.0100.0000.0110.0160.0000.0001.0000.9780.9290.6820.6710.638-0.018-0.0180.000-0.0350.0810.0330.0290.0000.0230.0380.0000.0070.2890.0510.0060.0900.0880.0770.0910.0900.081
NONLIVINGAPARTMENTS_MEDI0.0360.0360.0370.0570.0000.000-0.0080.0160.0000.0040.2750.2740.2540.1880.1850.1670.0010.0080.0130.2380.2410.227-0.0060.014-0.013-0.0030.051-0.005-0.0030.2310.2330.2230.0000.1230.1200.1010.0380.020-0.0000.0000.0000.0000.0140.0000.0000.0251.0000.0240.0000.0000.0100.0000.0190.0000.0110.0180.2470.2460.2390.1740.1730.1610.0190.0100.0060.1250.1240.1170.0270.0000.2490.2490.2350.2540.2520.2370.0080.0000.0110.0150.0000.0000.9781.0000.9530.6660.6840.661-0.014-0.0140.000-0.0360.0720.0290.0250.0000.0250.0370.0000.0060.2870.0540.0050.0890.0880.0800.0910.0900.084
NONLIVINGAPARTMENTS_MODE0.0320.0340.0350.0470.0000.000-0.0080.0190.0000.0090.2590.2620.2680.1800.1810.1910.0010.0100.0000.2250.2300.243-0.0050.009-0.010-0.0040.049-0.0020.0010.2050.2110.2190.0000.1280.1270.1340.0370.009-0.0030.0000.0000.0000.0000.0000.0090.0231.0000.0000.0000.0000.0180.0000.0120.0000.0160.0110.2200.2230.2290.1580.1590.1650.0150.0000.0000.1340.1350.1500.0300.0000.2330.2360.2500.2380.2400.2500.0160.0000.0100.0170.0000.0000.9290.9531.0000.6310.6540.699-0.010-0.0100.000-0.0230.0550.0240.0210.0000.0230.0220.0000.0060.2770.0550.0000.0760.0760.0800.0780.0780.085
NONLIVINGAREA_AVG0.0570.0520.0530.0770.0000.0000.0000.0090.000-0.0050.2320.2260.1980.1650.1610.128-0.0070.0010.0000.1760.1700.140-0.0090.000-0.005-0.0010.053-0.001-0.0070.2300.2210.2060.0100.1080.1030.0760.0400.050-0.0020.0000.0290.0000.0000.0000.0110.0001.0000.0000.0320.0020.0140.0000.0000.0000.0000.0000.2470.2430.2310.1390.1350.1180.0370.0300.0230.0870.0830.0600.0000.0310.2240.2190.1930.2130.2070.1760.0000.0200.0000.0000.0000.0050.6820.6660.6311.0000.9800.917-0.023-0.0230.011-0.0430.0680.0430.0450.0050.0000.0000.0160.0040.2670.0680.0050.1110.1070.0960.1090.1070.097
NONLIVINGAREA_MEDI0.0510.0480.0490.0720.0000.0000.0020.0090.000-0.0040.2250.2250.2060.1640.1640.146-0.0060.0030.0070.1730.1730.157-0.0080.001-0.0050.0000.0560.002-0.0040.2170.2200.2100.0100.1080.1070.0870.0370.045-0.0040.0000.0300.0000.0000.0000.0110.0001.0000.0000.0280.0000.0090.0000.0000.0060.0080.0000.2350.2360.2250.1300.1300.1160.0370.0300.0260.0930.0920.0820.0000.0260.2170.2190.2020.2060.2060.1890.0000.0170.0000.0000.0000.0060.6710.6840.6540.9801.0000.943-0.018-0.0180.009-0.0430.0570.0430.0450.0080.0000.0000.0110.0040.2650.0690.0090.1100.1090.1000.1080.1080.103
NONLIVINGAREA_MODE0.0390.0390.0390.0550.0000.000-0.0010.0090.000-0.0020.2070.2110.2270.1590.1620.182-0.0040.0030.0000.1650.1700.186-0.0080.001-0.008-0.0020.0510.0040.0010.1830.1930.2070.0110.1160.1180.1280.0290.032-0.0040.0000.0280.0000.0130.0000.0110.0001.0000.0080.0300.0000.0000.0000.0050.0000.0030.0010.1980.2030.2120.1090.1110.1170.0300.0210.0180.1080.1100.1310.0000.0260.1990.2050.2190.1870.1920.2130.0000.0160.0000.0000.0000.0120.6380.6610.6990.9170.9431.000-0.012-0.0120.006-0.0310.0320.0350.0400.0000.0000.0000.0150.0020.2530.0690.0060.0930.0940.1010.0860.0870.096
OBS_30_CNT_SOCIAL_CIRCLE-0.011-0.000-0.001-0.0300.0000.000-0.0000.0030.0000.020-0.023-0.024-0.020-0.015-0.016-0.0100.0210.0290.000-0.023-0.021-0.0180.0170.012-0.012-0.0250.0110.3780.306-0.037-0.036-0.0340.000-0.013-0.014-0.011-0.025-0.023-0.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.030-0.029-0.028-0.031-0.031-0.0290.026-0.0220.0000.0140.0140.0170.0000.000-0.035-0.034-0.031-0.026-0.026-0.0210.0000.0000.0000.0000.0000.018-0.018-0.014-0.010-0.023-0.018-0.0121.0000.9980.0000.018-0.0030.0170.0180.0000.0000.0000.000-0.009-0.0240.0000.0000.0170.0170.0180.0180.0180.019
OBS_60_CNT_SOCIAL_CIRCLE-0.011-0.000-0.001-0.0310.0000.000-0.0010.0030.0000.020-0.022-0.023-0.020-0.015-0.016-0.0090.0210.0290.000-0.024-0.021-0.0180.0160.012-0.013-0.0260.0110.3800.307-0.037-0.035-0.0340.000-0.012-0.013-0.011-0.024-0.023-0.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.030-0.029-0.028-0.032-0.031-0.0290.026-0.0220.0000.0140.0140.0180.0000.000-0.035-0.034-0.032-0.026-0.025-0.0200.0000.0000.0000.0000.0000.018-0.018-0.014-0.010-0.023-0.018-0.0120.9981.0000.0000.018-0.0020.0170.0180.0000.0000.0000.000-0.009-0.0240.0000.0000.0170.0180.0180.0190.0190.020
OCCUPATION_TYPE0.0710.0750.0820.0720.0000.0090.0000.0090.0000.0130.0270.0270.0280.0190.0200.0160.0470.0450.5660.0200.0210.0230.0701.0000.0260.0270.0290.0000.0000.0340.0340.0340.0090.0160.0160.0140.0850.0460.0170.0100.0220.0240.1740.0300.0100.0310.0000.2120.0290.0871.0001.0000.2600.0000.0600.0400.0420.0430.0420.0440.0450.0450.0210.0230.0250.0100.0000.0000.1170.0870.0400.0390.0430.0360.0360.0370.0290.2190.0620.0330.1990.0230.0000.0000.0000.0110.0090.0060.0000.0001.0000.0600.0390.0520.0420.0620.1110.0330.0700.0000.0310.0330.0140.0120.0100.0200.0270.0270.026
OWN_CAR_AGE-0.118-0.108-0.120-0.2050.0190.000-0.0130.0020.0000.008-0.093-0.092-0.084-0.052-0.051-0.0380.000-0.0060.097-0.054-0.052-0.052-0.0040.057-0.019-0.001-0.0280.0170.023-0.109-0.109-0.1040.031-0.026-0.026-0.019-0.114-0.1270.0350.0000.0160.0060.0581.0000.0460.0650.0000.0760.0190.0290.0770.0001.0000.0610.0720.079-0.117-0.114-0.106-0.098-0.096-0.0910.000-0.1380.000-0.020-0.018-0.0120.0330.037-0.083-0.081-0.074-0.103-0.101-0.0940.0000.0870.0400.0670.0460.000-0.035-0.036-0.023-0.043-0.043-0.0310.0180.0180.0601.000-0.1430.1290.1280.0000.0340.0170.043-0.006-0.1000.0140.011-0.060-0.060-0.056-0.059-0.059-0.054
REGION_POPULATION_RELATIVE0.0800.0760.0860.1020.0060.000-0.006-0.0320.0080.0020.1650.1610.1470.0790.0740.044-0.016-0.0110.0130.0660.0600.041-0.0340.001-0.015-0.042-0.0340.0200.0170.1950.1880.1790.0470.0430.0410.0250.0690.2020.0090.0000.0120.0340.1210.0090.0470.0390.0110.1130.0510.0550.0450.0000.0310.0580.1420.0400.2030.1980.1880.1930.1870.1750.0770.1100.033-0.084-0.085-0.0940.1220.2270.1590.1540.1350.1810.1750.1600.0070.0480.0180.0580.0820.0260.0810.0720.0550.0680.0570.032-0.003-0.0020.039-0.1431.0000.6570.5090.0550.1170.0770.210-0.0010.1680.0930.019-0.070-0.071-0.074-0.083-0.084-0.089
REGION_RATING_CLIENT0.1360.1130.1100.0820.0000.0000.0090.0210.0010.0100.1300.1280.1110.0750.0710.0530.0120.0160.0090.1170.1140.0970.0240.0280.0220.0530.0640.0110.0150.1870.1830.1660.0310.0460.0440.0300.0860.2690.0220.0040.0070.0150.1090.0070.0340.0320.0040.1140.0590.0680.0280.0000.0150.0220.1290.0070.2480.2420.2310.2180.2170.2060.0500.2270.0290.0350.0360.0390.0360.1980.1400.1340.1140.1340.1310.1100.0200.0640.0200.0870.1260.0270.0330.0290.0240.0430.0430.0350.0170.0170.0520.1290.6571.0000.9490.0510.0270.0380.1750.0000.1290.1020.0260.0260.0280.0280.0970.0970.106
REGION_RATING_CLIENT_W_CITY0.1150.0940.0920.0680.0000.0000.0000.0140.0000.0060.1370.1340.1190.0800.0760.0560.0030.0090.0080.1170.1150.0990.0200.0330.0160.0420.0470.0120.0110.1840.1810.1640.0280.0450.0430.0290.0670.2140.0180.0000.0030.0150.1050.0040.0330.0290.0000.1140.0560.0610.0330.0090.0150.0270.1230.0000.2450.2390.2290.2140.2140.2040.0610.1660.0230.0310.0310.0330.0180.1880.1490.1430.1250.1420.1390.1200.0170.0520.0170.0710.0970.0210.0290.0250.0210.0450.0450.0400.0180.0180.0420.1280.5090.9491.0000.0590.0260.0470.1650.0000.1360.0930.0200.0250.0270.0270.0900.0910.100
REG_CITY_NOT_LIVE_CITY0.0160.0260.0240.0120.0050.0060.0000.0260.0000.0250.0610.0600.0550.0530.0530.0450.0000.0010.0500.0160.0150.0150.1840.0950.0800.0690.0850.0000.0030.0560.0550.0530.0280.0400.0390.0350.1330.0420.0710.0000.0380.0260.0150.0000.0000.0570.0000.0130.0030.0110.0950.0000.0000.0610.0600.0610.1100.1100.1080.0760.0760.0740.0240.0240.0180.0350.0350.0340.0350.0230.0560.0550.0490.0590.0590.0540.0000.0390.0720.1960.0960.0190.0000.0000.0000.0050.0080.0000.0000.0000.0620.0000.0550.0510.0591.0000.4490.3890.1830.0000.0630.0640.0000.0110.0140.0100.0180.0180.015
REG_CITY_NOT_WORK_CITY0.0270.0330.0390.0100.0000.0050.0000.0240.0000.0260.1020.1010.0900.0580.0570.0480.0190.0440.1350.0370.0380.0340.2540.2610.1040.0590.1170.0000.0000.0830.0810.0760.0130.0410.0410.0360.1690.0850.0710.0090.0210.0250.0640.0000.0000.1560.0000.0520.0000.0140.2610.0000.0750.0760.0580.1230.1510.1500.1440.1040.1030.1000.0490.0380.0240.0450.0450.0370.8270.2010.0810.0810.0740.0970.0950.0890.0130.0350.0860.1290.2620.0230.0230.0250.0230.0000.0000.0000.0000.0000.1110.0340.1170.0270.0260.4491.0000.1640.2650.0050.0940.0600.0140.0250.0250.0230.0290.0290.032
REG_REGION_NOT_LIVE_REGION0.0500.0220.0250.0460.0000.0000.0000.0000.0000.0260.0310.0300.0300.0280.0280.0240.0000.0050.0260.0400.0320.0330.0690.0450.0430.0500.0330.0000.0000.0440.0440.0430.0060.0000.0000.0000.0300.0380.0420.0000.0720.0310.0230.0000.0100.0270.0000.0200.0230.0000.0450.0000.0050.0470.0080.0790.0240.0250.0250.0200.0120.0160.0200.0620.0110.0050.0040.0060.0200.0910.0300.0310.0240.0170.0160.0190.0140.0390.0490.1190.0690.0180.0380.0370.0220.0000.0000.0000.0000.0000.0330.0170.0770.0380.0470.3890.1641.0000.4950.0040.0260.0080.0060.0000.0000.0000.0000.0000.000
REG_REGION_NOT_WORK_REGION0.0900.0530.0600.0620.0120.0000.0000.0000.0080.0280.0000.0080.0000.0000.0000.0000.0000.0000.0980.0700.0680.0670.1060.1170.0570.0430.0440.0000.0070.0260.0250.0200.0000.0160.0160.0180.0340.0690.0390.0000.0400.0210.0180.0000.0120.0700.0000.0650.0280.0180.1170.0000.0360.0400.0060.0870.0570.0580.0560.0510.0530.0630.0000.0810.0130.0000.0000.0000.2110.8390.0270.0260.0340.0160.0120.0140.0100.0460.0600.0810.1350.0180.0000.0000.0000.0160.0110.0150.0000.0000.0700.0430.2100.1750.1650.1830.2650.4951.0000.0040.0290.0370.0180.0000.0000.0000.0460.0460.048
SK_ID_CURR0.0080.0050.0060.0070.0070.0060.0000.0000.0000.004-0.004-0.004-0.006-0.003-0.003-0.0040.000-0.0030.000-0.002-0.003-0.0060.002-0.002-0.001-0.0060.001-0.008-0.005-0.001-0.001-0.0030.011-0.005-0.004-0.0070.0020.0040.0090.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0130.0020.0040.0090.0170.0000.000-0.003-0.002-0.0030.0010.0020.0000.0130.0040.005-0.010-0.010-0.0130.0080.0090.0000.000-0.003-0.007-0.006-0.0090.0060.0000.0000.0060.0030.0000.0070.0060.0060.0040.0040.002-0.009-0.0090.000-0.006-0.0010.0000.0000.0000.0050.0040.0041.000-0.0080.0030.000-0.0000.000-0.0020.0060.0060.006
TOTALAREA_MODE0.0840.0740.0800.1230.0080.031-0.003-0.0040.000-0.0080.8940.8880.8680.7060.7000.6650.0050.0160.0000.6160.6120.594-0.009-0.013-0.018-0.0220.002-0.020-0.0160.7300.7260.7160.0760.5840.5770.5440.0630.1070.0200.0000.0000.0000.0500.0000.0130.0001.0000.0440.0280.0480.0080.0100.0300.0270.0680.0200.7710.7710.7690.5090.5050.4920.0480.0620.0460.4280.4250.4090.0660.0340.8720.8670.8450.9380.9330.9150.0120.0470.0150.0110.0240.0150.2890.2870.2770.2670.2650.253-0.024-0.0240.031-0.1000.1680.1290.1360.0630.0940.0260.029-0.0081.0000.1460.0000.4890.4870.4880.4560.4550.457
WALLSMATERIAL_MODE0.0240.0240.0220.0220.0000.0000.0000.0000.0050.0240.1450.1430.1390.1080.1070.1070.0000.0000.0050.0820.0790.0780.0130.0000.0080.0130.0480.0000.0000.1460.1460.1440.3040.1380.1360.1350.0000.0300.0000.0060.0000.0000.0320.0000.0100.0121.0000.0360.0300.0320.0000.0000.0270.0440.0400.0300.2700.2740.2730.1800.1820.1810.1160.0340.1210.0880.0890.0860.0480.0450.1230.1290.1240.1510.1510.1460.0100.0350.0080.0430.0200.0080.0510.0540.0550.0680.0690.0690.0000.0000.0330.0140.0930.1020.0930.0640.0600.0080.0370.0030.1461.0000.0000.0000.0090.0060.2090.2070.209
WEEKDAY_APPR_PROCESS_START0.0090.0040.0070.0000.0000.0130.0060.0390.0000.0360.0000.0000.0000.0030.0030.0000.0040.0000.0070.0000.0000.0000.0130.0240.0060.0100.0070.0000.0050.0000.0020.0110.0120.0000.0000.0000.0110.0030.0010.0060.0120.0120.0120.0180.0000.0140.0000.0130.0070.0080.0240.0000.0060.0790.0380.0670.0000.0000.0000.0110.0130.0160.0150.0330.0000.0000.0000.0000.0170.0200.0120.0080.0000.0080.0080.0090.0180.0040.0000.0000.0110.0060.0060.0050.0000.0050.0090.0060.0000.0000.0140.0110.0190.0260.0200.0000.0140.0060.0180.0000.0000.0001.0000.0000.0000.0000.0040.0020.009
YEARS_BEGINEXPLUATATION_AVG0.0470.0410.0450.0550.0000.000-0.0040.0070.000-0.0270.4320.4310.4090.3030.3010.2820.0230.0340.0000.3500.3490.3320.035-0.006-0.020-0.0040.136-0.010-0.0100.4940.4980.4940.0000.1140.1100.0910.0130.0170.0110.0000.0000.0370.0040.0000.0000.0001.0000.0000.0000.0040.0000.0000.0010.0080.0000.0000.5810.5840.5800.3560.3560.3420.031-0.0040.0000.1930.1910.1740.0140.0000.4020.4010.3800.4890.4900.4670.0000.0000.0000.0000.0000.0000.0900.0890.0760.1110.1100.0930.0170.0170.012-0.060-0.0700.0260.0250.0110.0250.0000.000-0.0000.4890.0000.0001.0000.9970.9860.9870.9860.976
YEARS_BEGINEXPLUATATION_MEDI0.0460.0400.0440.0540.0000.000-0.0040.0070.000-0.0270.4300.4290.4080.3010.3000.2830.0240.0350.0020.3480.3480.3310.035-0.005-0.020-0.0030.136-0.009-0.0100.4910.4970.4930.0000.1130.1090.0910.0120.0160.0100.0000.0000.0390.0000.0000.0000.0031.0000.0000.0000.0080.0000.0000.0040.0080.0050.0000.5780.5840.5790.3540.3550.3420.033-0.0050.0000.1930.1910.1760.0160.0000.4000.3990.3790.4870.4890.4670.0000.0000.0040.0040.0000.0020.0880.0880.0760.1070.1090.0940.0170.0180.010-0.060-0.0710.0280.0270.0140.0250.0000.0000.0000.4870.0090.0000.9971.0000.9870.9850.9860.976
YEARS_BEGINEXPLUATATION_MODE0.0430.0380.0420.0500.0000.000-0.0040.0080.000-0.0260.4290.4290.4230.3060.3050.3010.0230.0340.0040.3470.3480.3410.034-0.005-0.021-0.0020.134-0.010-0.0090.4800.4870.4960.0000.1200.1180.1140.0100.0150.0100.0000.0000.0130.0000.0000.0000.0001.0000.0000.0000.0100.0000.0000.0000.0110.0040.0000.5690.5740.5840.3460.3480.3430.039-0.0080.0000.2000.1990.1950.0160.0000.3970.3970.3870.4850.4880.4820.0000.0000.0000.0000.0000.0000.0770.0800.0800.0960.1000.1010.0180.0180.020-0.056-0.0740.0280.0270.0100.0230.0000.000-0.0020.4880.0060.0000.9860.9871.0000.9680.9690.979
YEARS_BUILD_AVG0.0440.0340.0380.0460.0000.000-0.0060.0060.008-0.0320.4040.4000.3670.2890.2860.2630.0240.0380.0130.3490.3490.3310.0340.009-0.0180.0070.145-0.012-0.0140.4880.4920.4850.1710.0760.0730.0470.0080.0160.0110.0000.0000.0000.0290.0000.0000.0111.0000.0480.0040.0240.0240.0000.0480.0210.0440.0180.5710.5730.5650.3590.3600.3460.077-0.0010.0870.1770.1740.1530.0350.0480.4030.4020.3810.4650.4650.4300.0060.0550.0270.0170.0280.0160.0910.0910.0780.1090.1080.0860.0180.0190.027-0.059-0.0830.0970.0900.0180.0290.0000.0460.0060.4560.2090.0040.9870.9850.9681.0000.9980.988
YEARS_BUILD_MEDI0.0440.0340.0370.0460.0000.000-0.0050.0060.000-0.0320.4020.4000.3660.2870.2850.2640.0240.0390.0160.3480.3490.3320.0350.009-0.0170.0070.144-0.012-0.0140.4860.4920.4840.1730.0760.0720.0470.0070.0150.0100.0000.0000.0000.0260.0000.0000.0001.0000.0440.0030.0250.0230.0000.0480.0140.0370.0160.5680.5730.5650.3580.3600.3450.078-0.0010.0910.1770.1750.1550.0370.0480.4020.4010.3800.4640.4650.4290.0010.0550.0270.0180.0270.0170.0900.0900.0780.1070.1080.0870.0180.0190.027-0.059-0.0840.0970.0910.0180.0290.0000.0460.0060.4550.2070.0020.9860.9860.9690.9981.0000.989
YEARS_BUILD_MODE0.0410.0310.0350.0420.0000.000-0.0050.0060.000-0.0300.4020.4020.3810.2910.2910.2820.0220.0370.0050.3490.3500.3440.0330.010-0.0170.0080.142-0.011-0.0130.4770.4860.4890.1580.0830.0810.0680.0060.0120.0100.0000.0000.0000.0250.0000.0000.0121.0000.0420.0100.0210.0260.0000.0490.0000.0350.0190.5600.5660.5680.3530.3550.3510.077-0.0050.0990.1850.1840.1740.0390.0520.4010.4020.3930.4640.4660.4430.0030.0560.0250.0160.0330.0150.0810.0840.0850.0970.1030.0960.0190.0200.026-0.054-0.0890.1060.1000.0150.0320.0000.0480.0060.4570.2090.0090.9760.9760.9790.9880.9891.000

Missing values

2024-09-01T13:14:53.668424image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-09-01T13:14:54.408647image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

SK_ID_CURRNAME_CONTRACT_TYPECODE_GENDERFLAG_OWN_CARFLAG_OWN_REALTYCNT_CHILDRENAMT_INCOME_TOTALAMT_CREDITAMT_ANNUITYAMT_GOODS_PRICENAME_TYPE_SUITENAME_INCOME_TYPENAME_EDUCATION_TYPENAME_FAMILY_STATUSNAME_HOUSING_TYPEREGION_POPULATION_RELATIVEDAYS_BIRTHDAYS_EMPLOYEDDAYS_REGISTRATIONDAYS_ID_PUBLISHOWN_CAR_AGEFLAG_MOBILFLAG_EMP_PHONEFLAG_WORK_PHONEFLAG_CONT_MOBILEFLAG_PHONEFLAG_EMAILOCCUPATION_TYPECNT_FAM_MEMBERSREGION_RATING_CLIENTREGION_RATING_CLIENT_W_CITYWEEKDAY_APPR_PROCESS_STARTHOUR_APPR_PROCESS_STARTREG_REGION_NOT_LIVE_REGIONREG_REGION_NOT_WORK_REGIONLIVE_REGION_NOT_WORK_REGIONREG_CITY_NOT_LIVE_CITYREG_CITY_NOT_WORK_CITYLIVE_CITY_NOT_WORK_CITYORGANIZATION_TYPEEXT_SOURCE_1EXT_SOURCE_2EXT_SOURCE_3APARTMENTS_AVGBASEMENTAREA_AVGYEARS_BEGINEXPLUATATION_AVGYEARS_BUILD_AVGCOMMONAREA_AVGELEVATORS_AVGENTRANCES_AVGFLOORSMAX_AVGFLOORSMIN_AVGLANDAREA_AVGLIVINGAPARTMENTS_AVGLIVINGAREA_AVGNONLIVINGAPARTMENTS_AVGNONLIVINGAREA_AVGAPARTMENTS_MODEBASEMENTAREA_MODEYEARS_BEGINEXPLUATATION_MODEYEARS_BUILD_MODECOMMONAREA_MODEELEVATORS_MODEENTRANCES_MODEFLOORSMAX_MODEFLOORSMIN_MODELANDAREA_MODELIVINGAPARTMENTS_MODELIVINGAREA_MODENONLIVINGAPARTMENTS_MODENONLIVINGAREA_MODEAPARTMENTS_MEDIBASEMENTAREA_MEDIYEARS_BEGINEXPLUATATION_MEDIYEARS_BUILD_MEDICOMMONAREA_MEDIELEVATORS_MEDIENTRANCES_MEDIFLOORSMAX_MEDIFLOORSMIN_MEDILANDAREA_MEDILIVINGAPARTMENTS_MEDILIVINGAREA_MEDINONLIVINGAPARTMENTS_MEDINONLIVINGAREA_MEDIFONDKAPREMONT_MODEHOUSETYPE_MODETOTALAREA_MODEWALLSMATERIAL_MODEEMERGENCYSTATE_MODEOBS_30_CNT_SOCIAL_CIRCLEDEF_30_CNT_SOCIAL_CIRCLEOBS_60_CNT_SOCIAL_CIRCLEDEF_60_CNT_SOCIAL_CIRCLEDAYS_LAST_PHONE_CHANGEFLAG_DOCUMENT_2FLAG_DOCUMENT_3FLAG_DOCUMENT_4FLAG_DOCUMENT_5FLAG_DOCUMENT_6FLAG_DOCUMENT_7FLAG_DOCUMENT_8FLAG_DOCUMENT_9FLAG_DOCUMENT_10FLAG_DOCUMENT_11FLAG_DOCUMENT_12FLAG_DOCUMENT_13FLAG_DOCUMENT_14FLAG_DOCUMENT_15FLAG_DOCUMENT_16FLAG_DOCUMENT_17FLAG_DOCUMENT_18FLAG_DOCUMENT_19FLAG_DOCUMENT_20FLAG_DOCUMENT_21AMT_REQ_CREDIT_BUREAU_HOURAMT_REQ_CREDIT_BUREAU_DAYAMT_REQ_CREDIT_BUREAU_WEEKAMT_REQ_CREDIT_BUREAU_MONAMT_REQ_CREDIT_BUREAU_QRTAMT_REQ_CREDIT_BUREAU_YEAR
15071208550Cash loansMYY2450000.0854896.536351.0702000.0UnaccompaniedWorkingHigher educationMarriedHouse / apartment0.032561-11348-1149-5443.0-395314.0110100Managers4.011MONDAY13000000Business Entity Type 30.6370610.771890NaN0.09260.05680.97320.63280.01150.0720.13790.13330.17500.03790.07510.08980.00150.00810.03780.04130.97270.64060.00260.00000.10340.08330.12500.01520.03310.01920.00000.00000.03750.06210.97270.63100.00390.000.10340.08330.12500.03320.03080.02980.00000.0015reg oper accountblock of flats0.0231Stone, brickNo0.00.00.00.0-730.000000010000000000000NaNNaNNaNNaNNaNNaN
10157173779Cash loansFNY067500.0296280.019062.0225000.0UnaccompaniedPensionerHigher educationSingle / not marriedHouse / apartment0.009175-19852365243-192.0-3237NaN100100None1.022FRIDAY14000000XNANaN0.6720380.5549470.23200.15760.99900.98640.08030.2000.17240.33330.37500.02910.18910.20990.86870.00000.23630.16350.99900.98690.08100.20140.17240.33330.37500.02970.20660.21860.87550.00000.23420.15760.99900.98660.08080.200.17240.33330.37500.02960.19240.21360.87340.0000reg oper spec accountblock of flats0.2187Stone, brickNo0.00.00.00.0-693.0000010000000000000000.00.00.00.00.04.0
36313365820Cash loansFYN0135000.0339948.035694.0315000.0UnaccompaniedCommercial associateSecondary / secondary specialMarriedHouse / apartment0.024610-15138-4891-9273.0-44507.0110110Private service staff2.022MONDAY10000000Business Entity Type 30.7894710.6302150.619528NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNoneNone0.0018NoneNo0.00.00.00.0-231.0010000000000000000000.00.00.00.00.03.0
6017144092Cash loansMNY0256500.0609898.531270.5526500.0UnaccompaniedWorkingSecondary / secondary specialMarriedHouse / apartment0.002042-15214-2773-2075.0-4943NaN110101Laborers2.033FRIDAY10000000Other0.4604290.7712970.4101030.05570.00000.98610.80960.00000.0800.06900.33330.37500.06720.04540.05910.00000.03850.05670.00000.98610.81710.00000.08060.06900.33330.37500.06870.04960.06160.00000.04080.05620.00000.98610.81210.00000.080.06900.33330.37500.06840.04620.06020.00000.0393Noneblock of flats0.0489PanelNo0.00.00.00.0-790.0010000000000000000000.00.00.00.01.03.0
26319291599Cash loansMNN1180000.0450000.022977.0450000.0UnaccompaniedWorkingSecondary / secondary specialMarriedHouse / apartment0.018029-15806-5816-1188.0-5943NaN111110Core staff3.033MONDAY7000000Government0.3458270.479513NaN0.17010.18960.98910.85040.25000.0000.41380.16670.04170.15620.13700.16880.00770.01780.17330.19680.98910.85630.25220.00000.41380.16670.04170.15970.14970.17590.00780.01890.17180.18960.98910.85240.25150.000.41380.16670.04170.15890.13940.17180.00780.0182reg oper accountblock of flats0.1367PanelNo1.00.01.00.0-2580.001000000000000000000NaNNaNNaNNaNNaNNaN
SK_ID_CURRNAME_CONTRACT_TYPECODE_GENDERFLAG_OWN_CARFLAG_OWN_REALTYCNT_CHILDRENAMT_INCOME_TOTALAMT_CREDITAMT_ANNUITYAMT_GOODS_PRICENAME_TYPE_SUITENAME_INCOME_TYPENAME_EDUCATION_TYPENAME_FAMILY_STATUSNAME_HOUSING_TYPEREGION_POPULATION_RELATIVEDAYS_BIRTHDAYS_EMPLOYEDDAYS_REGISTRATIONDAYS_ID_PUBLISHOWN_CAR_AGEFLAG_MOBILFLAG_EMP_PHONEFLAG_WORK_PHONEFLAG_CONT_MOBILEFLAG_PHONEFLAG_EMAILOCCUPATION_TYPECNT_FAM_MEMBERSREGION_RATING_CLIENTREGION_RATING_CLIENT_W_CITYWEEKDAY_APPR_PROCESS_STARTHOUR_APPR_PROCESS_STARTREG_REGION_NOT_LIVE_REGIONREG_REGION_NOT_WORK_REGIONLIVE_REGION_NOT_WORK_REGIONREG_CITY_NOT_LIVE_CITYREG_CITY_NOT_WORK_CITYLIVE_CITY_NOT_WORK_CITYORGANIZATION_TYPEEXT_SOURCE_1EXT_SOURCE_2EXT_SOURCE_3APARTMENTS_AVGBASEMENTAREA_AVGYEARS_BEGINEXPLUATATION_AVGYEARS_BUILD_AVGCOMMONAREA_AVGELEVATORS_AVGENTRANCES_AVGFLOORSMAX_AVGFLOORSMIN_AVGLANDAREA_AVGLIVINGAPARTMENTS_AVGLIVINGAREA_AVGNONLIVINGAPARTMENTS_AVGNONLIVINGAREA_AVGAPARTMENTS_MODEBASEMENTAREA_MODEYEARS_BEGINEXPLUATATION_MODEYEARS_BUILD_MODECOMMONAREA_MODEELEVATORS_MODEENTRANCES_MODEFLOORSMAX_MODEFLOORSMIN_MODELANDAREA_MODELIVINGAPARTMENTS_MODELIVINGAREA_MODENONLIVINGAPARTMENTS_MODENONLIVINGAREA_MODEAPARTMENTS_MEDIBASEMENTAREA_MEDIYEARS_BEGINEXPLUATATION_MEDIYEARS_BUILD_MEDICOMMONAREA_MEDIELEVATORS_MEDIENTRANCES_MEDIFLOORSMAX_MEDIFLOORSMIN_MEDILANDAREA_MEDILIVINGAPARTMENTS_MEDILIVINGAREA_MEDINONLIVINGAPARTMENTS_MEDINONLIVINGAREA_MEDIFONDKAPREMONT_MODEHOUSETYPE_MODETOTALAREA_MODEWALLSMATERIAL_MODEEMERGENCYSTATE_MODEOBS_30_CNT_SOCIAL_CIRCLEDEF_30_CNT_SOCIAL_CIRCLEOBS_60_CNT_SOCIAL_CIRCLEDEF_60_CNT_SOCIAL_CIRCLEDAYS_LAST_PHONE_CHANGEFLAG_DOCUMENT_2FLAG_DOCUMENT_3FLAG_DOCUMENT_4FLAG_DOCUMENT_5FLAG_DOCUMENT_6FLAG_DOCUMENT_7FLAG_DOCUMENT_8FLAG_DOCUMENT_9FLAG_DOCUMENT_10FLAG_DOCUMENT_11FLAG_DOCUMENT_12FLAG_DOCUMENT_13FLAG_DOCUMENT_14FLAG_DOCUMENT_15FLAG_DOCUMENT_16FLAG_DOCUMENT_17FLAG_DOCUMENT_18FLAG_DOCUMENT_19FLAG_DOCUMENT_20FLAG_DOCUMENT_21AMT_REQ_CREDIT_BUREAU_HOURAMT_REQ_CREDIT_BUREAU_DAYAMT_REQ_CREDIT_BUREAU_WEEKAMT_REQ_CREDIT_BUREAU_MONAMT_REQ_CREDIT_BUREAU_QRTAMT_REQ_CREDIT_BUREAU_YEAR
11284181764Cash loansFNY067500.0296280.023539.5225000.0UnaccompaniedWorkingSecondary / secondary specialMarriedHouse / apartment0.031329-18890-232-8240.0-2422NaN110100Cooking staff2.022THURSDAY9000011Industry: type 30.5795380.5963870.8050200.08250.09560.98610.80960.01080.00000.20690.16670.2083NaN0.06720.07830.00.00000.08400.09920.98610.81710.01090.00000.20690.16670.2083NaN0.07350.08160.00.00.08330.09560.98610.81210.01090.000.20690.16670.2083NaN0.06840.07970.00.0reg oper accountblock of flats0.0675PanelNo0.00.00.00.0-2640.0010000000000000000000.00.00.00.01.01.0
44732427263Cash loansFNY0306000.0497520.039307.5450000.0UnaccompaniedPensionerHigher educationWidowHouse / apartment0.072508-19908365243-316.0-701NaN100110None1.011WEDNESDAY13000000XNANaN0.5614330.6706520.10720.05650.9767NaNNaN0.10640.06900.4167NaN0.0000NaN0.0941NaN0.00010.08820.03960.9767NaNNaN0.08060.03450.4583NaN0.0000NaN0.0753NaN0.00.08740.03860.9767NaNNaN0.080.03450.4583NaN0.0000NaN0.0744NaN0.0Noneblock of flats0.0568PanelNo0.00.00.00.00.0010000000000000000000.00.00.00.00.02.0
38158379841Cash loansFNY0247500.0696528.044644.5630000.0UnaccompaniedPensionerSecondary / secondary specialMarriedHouse / apartment0.046220-23126365243-13697.0-4778NaN100110None2.011SUNDAY13000000XNANaN0.7183320.605836NaNNaN0.9801NaNNaN0.16000.13790.4583NaNNaNNaNNaNNaNNaNNaNNaN0.9801NaNNaN0.16110.13790.4583NaNNaNNaNNaNNaNNaNNaNNaN0.9801NaNNaN0.160.13790.4583NaNNaNNaNNaNNaNNaNreg oper accountblock of flats0.1638PanelNo0.00.00.00.0-1299.0000010000000000000000.00.00.00.01.06.0
860105976Cash loansFNN090000.0225000.016371.0225000.0UnaccompaniedWorkingSecondary / secondary specialMarriedHouse / apartment0.008866-10154-1401-3626.0-1037NaN111100Sales staff2.022MONDAY15000011AgricultureNaN0.358885NaN0.0124NaN0.9791NaNNaN0.00000.06900.0417NaNNaNNaN0.0090NaNNaN0.0126NaN0.9791NaNNaN0.00000.06900.0417NaNNaNNaN0.0094NaNNaN0.0125NaN0.9791NaNNaN0.000.06900.0417NaNNaNNaN0.0092NaNNaNNoneblock of flats0.0071WoodenNo3.00.03.00.0-1349.0010000000000000000000.00.00.00.00.00.0
15795213886Cash loansFYY0360000.0550980.033835.5450000.0UnaccompaniedWorkingHigher educationMarriedHouse / apartment0.008866-16375-3315-1740.0-31083.0110100None2.022MONDAY15000000Trade: type 70.6345080.8074620.7675230.06080.06180.98660.68040.01140.00000.12070.12500.20830.03890.08410.05460.00.00000.01890.03560.97670.69290.01150.00000.03450.08330.20830.00690.09180.01540.00.00.06140.06180.98660.68470.01140.000.12070.12500.20830.03950.08550.05550.00.0reg oper accountblock of flats0.0804Stone, brickNo1.00.01.00.0-1820.0010000000000000000000.00.00.00.01.01.0